Event Location:
Camosun College, Lansdowne Campus – Young Building
3100 Foul Bay Rd
Victoria, British Columbia, Canada
Abstract:
The Analytics service in Azure DevOps Services provides all-over insights to your DevOps data: work item tracking, CI/CD pipelines, testing process etc. Built on top of columnstore indexes, the Analytics service has to deal with 100s of millions records and daily growth in 10s of millions, only a few minutes delay from operation store, sub second query performance for in-product experiences as well as 3rd party extensions, Power BI integration and ad-hoc queries. Working on it, I've learned a lot of DOs and DON'Ts about columnstore indexes. Session covers how to: * partition columnstore indexes in a multitenant environment * maintain columnstore indexes in case of updates and/or purge to keep segment elimination possible * evolve database schema without downtimes and maintenance windows * design to benefit from predicate and aggregation pushdown * deal with edge case like ad-hoc queries for raw data and paging * choose between CCI and NCCI based on usage patterns
Speaker(s): Konstantin Kosinsky,
Abstract:
Data is the new oil ! But just sitting on a patch of oil does not make one rich. The oil needs to be drilled, extracted, refined and ultimately sold. Same with data. Getting the right data in the hands of the right people in a timely manner seems to be more of a challenge than most organizations realize, and the reason for that is the limitations imposed by legacy on-premises and cloud v1.0 data warehouses. Snowflake is a Modern Cloud Data Platform, rooted in the cloud, freeing you from those shackles and allowing you to use your data more efficiently, rather than spending all your time managing the underlying infrastructure and costs. Come listen how Snowflake has enabled thousands of customers to make better, faster decisions, save money and discover new ways to use data! As a bonus, come learn how Snowflake enables customers to share relevant data in a modern, low-calorie way!
Speaker(s): Riaan Tischendorf,
Abstract:
Have you heard the recent industry noise about how people are applying DevOps principles to databases and wondered if it is just hype? In this session, MVP Hamish Watson demonstrates how the noise is based on facts, and how using Redgate tools will make a huge (positive) difference to how you deploy changes to your SQL Server estate. The session is based on Hamish's experiences "in the wild" and lists all the benefits and pitfalls associated with applying DevOps principles to your database systems. The session contains a demonstration, that is based on a real-world system. And after watching this session you will come away with practical methods of how to start your journey to DevOps brilliance.
Speaker(s): Hamish Watson,
Abstract:
Traditional DW solutions pre-date the cloud. They were designed to run on small, static clusters of well-behaved machines, making them a poor architectural fit. Сloud drives innovation. Organizations are moving away from on-premise analytics towards shared data centers and software-as-a-service solutions hosted by platform providers such as Microsoft Azure. The shared infrastructure of the cloud promises increased economies of scale, extreme scalability and availability, and a pay-as-you-go cost model that adapts to unpredictable usage demands. Unfortunately, these advantages can only be captured if the software itself is able to scale elastically over the pool of commodity resources that is the cloud. This talk will cover the journey towards Modern Cloud Analytics Solutions with Microsoft Azure. This talk will help you understand the potential of Azure Cloud Analytics and learn about our use case and save time for future projects.
Speaker(s): Dmitry Anoshin,
Abstract:
SQL Server Agent is a powerful tool to configure scheduled tasks for your SQL Server. However, once this job is about to cross the boundary of the server itself - be it data collection, maintenance or administrative tasks or anything at all - Agent tasks become cumbersome, with complicated syntax and, usually, a mix of T-SQL, Powershell and xp_cmdshell. This session will talk about an alternative to SQL Server Agent that allows us to orchestrate SQL Server environment in a more centralized manner and opens doors for advanced automation tasks, storing code in repositories and many more! Jenkins, one of the most popular DevOps tools, has a very forgiving learning curve and enables us to use thousands of community-inspired modules from one single point of entry. From Agent Jobs to Jenkins, or how to run your SQL code outside of the box.
Speaker(s): Kirill Kravtsov,
Abstract:
In this session we will create an Power App that will allow users to check-in their location. We will then create a Flow that will take that location and write to a Power BI data source and refresh it. We will then create a Power BI report that will display the data on a map. Power Apps is a great tool that allows you to create a desktop or mobile app with minimal coding. The app we are creating in this session uses the Bing location services to get the users location when a button is pressed. The Microsoft Flow we create in this session will take the location and user information and write it to an Excel file. We will also look at a custom connector in Flow that will allow us to refresh a Power BI data set. In the Power BI report we will create we will connect to an Excel file with the location information in it and display it in a report including the location on a map. The audience will take away useful information about Power Apps, Flow and Power BI including all the code used.
Speaker(s): Asgeir Gunnarsson,
Abstract:
Face it, using SSIS to work with fixed width flat files is a pain. The SSIS interface has you clicking around to mark each column. Then you use another interface to set each columns data types, etc. And when you are done, you still need to document the file structure for your users. What if you could simply document the file structure and then generate the ETL from the document? To demonstrate such an approach, I build an Excel file describing US census data that has more than 300 columns of fixed width data. After demonstrating how this file communicates to business users, I will generate an SSIS package from that metadata using BIML Script. Then I will also look at how you can generate a SQL Server bulk insert format file from the same metadata.
Speaker(s): Russel Loski,
Abstract:
So when you started your career, you troubleshoot using profiler, got very comfortable with the interface and troubleshooting with it. Then in 2008, the SQL Server team came out with Extended Events. You tried it and said big TSQL scripts and XML shredding to get what I can get with profiler and a few button clicks and you really have never looked back. But really you still wonder if maybe just maybe I should be comfortable with this tool. During this basic session we will explore the features that differentiate XE from trace, with a focus on new features that have been recently released. After this session you’ll be comfortable creating your own XE sessions and will know when you use XE when to use profiler or when it doesn’t matter.
Speaker(s): John Puttman,
Abstract:
Do you want to turn your SQL knowledge into a possible career? This session will show you what options are available to learn about MS SQL Server and make you more knowledgeable about the product by providing links to people and organizations who offer training and advice He has now performed this at 4 SQL Saturday's and gotten great feedback from attendees. The slide deck will contain all the links that are shown during the presentation. This session will show the many different options available to learn MS SQL Server ranging from free events thru to international conferences It will also show how to make any conference more affordable and justify the benefits
Speaker(s): Chris Wood,
Abstract:
SQL Server is a huge product, with many different places a DBA can go to look for information on how the server is performing. So many in fact that they can often overlap, which sometimes makes it hard to understand why tackling a new tool is worth the effort. In this installment of Rick's "Why should I care" series, he lays out a case for why working knowledge of the plan cache is critical for performance tuning efforts in real world environments. A review of relevant views and functions is included for the (newly?) motivated audience. Perfect for those who are relatively new to performance tuning concerns, or advanced DBAs trying to figure out how to have a similar conversation with their less experienced peers, or developers who are curious as to why their DBAs often seem so frazzled. This is not a deep dive into the cache, it really is primarily a session exploring _why_ these DMOs are worth slogging through.
Speaker(s): Rick Lowe,
Abstract:
This is a workshop for beginners in the field of Business Intelligence and Data Analytics. Data scientists should use the strategic management process to achieve strategic competitiveness and help the company achieve above-average returns. Strategic competitiveness on BI and Data Analytics is achieved when data scientists teams develop and implement a value-creating strategy at work. Those making strategic decisions must adopt a different mind-set, one that allows them to learn how to complete in highly turbulent and chaotic environments that produce a great deal of uncertainty. The effectiveness of the strategic management process at every level is increased when it is grounded in ethical intentions and behaviors. Managing core competence (capability that is valuable, rare and costly to imitate) requires careful analysis of the company's resources and capabilities in their data scientist team. The knowledge of the company's human capital possesses is among the most significant o
Speaker(s): Olga Gould,
Abstract:
Test Driven Development (TDD) is a design approach which has enabled application developers to write cleaner code. It is relevant for database development as it ensures that code produced using TDD and unit tests will be of higher quality which means interactions with data will be safer. TDD is not a new method of unit testing, it is an essential design practice for improving the quality of your deployed code. In this session it will be shown how we can use TDD to design and write better unit tests using open-source frameworks and industry standard tools. These tools can be run within SQL Server Management Studio which means DBAs can also take advantage of TDD and unit test, to ensure more reliable code is deployed to databases. TDD can result in code that can be deployed more reliably and faster when using DevOps processes such as Continuous Integration and Continuous Delivery. A comprehensive DEMO will reveal how Test Driven Development can help you deploy database code
Speaker(s): Hamish Watson,
Abstract:
It's 2020 - a new decade! How will technology evolve in the 2020s? Join Richard Campbell as he explores different aspects of hardware, software and networking that will have a huge impact over the next ten years. What will take over for the smartphone? Will Artificial Intelligence take over everything? What will PCs even look like over the next ten years? And what about Quantum Computing? All these topics and more will shape our future!
Speaker(s): Richard Campbell,
Abstract:
Many organization spend months and potentially years designing and implementing their data warehouse and by time of delivery the business requirements have evolved. Moreover such system is very complex and making any changes requires large amount of regression testing which slows down making improvement to system. Many of these problems plagued traditional application development and have for the large part been addressed by adoption of agile methodology and DevOps practices. In this session we'll draw parallel between the challenges of both domain and what the solution may look like.
Speaker(s): Sepand Gojgini,
Abstract:
Big announcement from Microsoft at Ignite and PASS, but what is it? Is it just Azure SQL DW rebranded? No, not really...it's way more than that. In this session we will talk about what this is and what it means for everyone out there. I'll give you a clue, no more storage keys, and key vaults to do what you need to do to go from Data Lake to Power BI and everything in between.
 Are you having a hard time keeping up with changes in policy and workload? In this session Christopher will walk through the three abilities of strong security design in a frank discussion of securing your SQL Servers. An in depth look at what the DBA role in data security is, and how to excel in that position. Find your seat at the table, find your place in the organization, and find the drive to ensure you can sleep soundly knowing you have done everything possible to secure your data.
Speaker(s): Christopher Docherty,
Abstract:
Data analytics, machine learning and statistical testing are all powerful tools for data science. These techniques all have one thing in common: the quality of the output is largely dependent on the quality of the data input! This session will walk through three scenarios of transforming and manipulating messy data to prepare for analytics. The data from each scenario will be shaped and cleaned with both Power Query in Power BI and tidyverse packages in R Studio. The techniques demonstrated in these examples can be transferred to prepare messy data from numerous other business scenarios!
Speaker(s): Joseph Yeates,
Abstract:
In order to get the most out of the latest hardware innovations, you need the latest software innovations as well. SQL Server 2019 introduces a suite of new and improved memory optimized technologies that take advantage of modern hardware to take performance and scalability to the next level. Come learn how to scale your database applications to new heights with SQL Server In-Memory technologies.
Speaker(s): Pam Lahoud,
Abstract:
In this session we will discuss how you can get your data quality problems under control on the Microsoft Data Platform. We'll show you how to quickly and easily integrate a duplicate search into your applications, how to migrate Microsoft SQL Server Data Quality Services to Azure, how to clean data with the SSIS-IR and how to improve your self-service processes in Power BI. All this with HEDDA.IO directly on Azure.
Speaker(s): Oliver Engels,
Abstract:
Business Intelligence and the Kimball methodology are well established in data warehousing as a successful means of turning data into information. Yet with the high demand for data and analysis in ever decreasing time cycles and data scientist needing more information on a daily basis new methods to rapidly extend or enhance traditional Kimball dimensional models are necessary to remain effective. The Symantec web provides valuable techniques that can be employed in a Kimball integrated data warehouse to meet the complex demands of todays data scientist.
Speaker(s): Robert Hart,
Abstract:
For most DBAs virtualization is no longer a matter of "If" but "When". This means it is critical for DBAs to understand how this technology works and how we can ensure we get the most performance and scalability out of it. In this session we will look at some of the best practices and gotchas when Designing Standalone and Highly Available SQL deployments in a vSphere environment. We'll also cover how to troubleshoot performance issues when they arise.
 Are you really missing out? Join me on an exploration of what it means to be a DBA in the modern era, and how your existing skills can be leveraged, no matter the platform. Maintenance plans, monitoring, even disaster recovery all work in pretty much the same way across Windows, Linux, Azure SQL DB, and containers. Then when you go back to work on Monday, you will have a starting point on how to modernize your existing environment and future-proof your career.
Speaker(s): Randolph West,
Abstract:
Power BI has grown and morphed over the past half decade with its modest start as a Desktop app, Mobile App and PaaS offering. We will talk about the bits and pieces you might be interested in to support your Power BI solutions. Sure, we will cover the Desktop App, Mobile App and PaaS, but we will also talk about the Premium service offerings, the On-premises Data Gateway and Power BI Report Server. Hopefully this tour of the landscape will help you in taking your first steps to discovering how Power BI can help uncover insights in your data.
Speaker(s): Scott Stauffer,
Abstract:
One of the things we love about Power Query is that you can do amazing things with just a few button clicks. But did you know that behind the scenes, Power Query performs Magic via a coding language called M? In the perfect world, you’d never need to look at this code at all but – as with all coding languages – you can do much more if you’re willing to get your hands dirty. In this session Ken will provide some simple M tricks to do amazing things. Building a calendar table in seconds, numbering grouped rows, and speeding up a table with a little buffer action.
Speaker(s): Ken Puls,
Abstract:
Looking to migrate to Azure with minimal to no downtime or just keep a steady stream of data from a source moving to the cloud? Migrating data is no longer a one size fits all scenario. With DEA, DMA, DMS and SSMA all available to you, which one best fits your needs? This session explores the multiple services and options of migrating data to Azure. We will delve into each option and compare their features. We will explore the options for initial load as well as on going loading of data.
Speaker(s): Melody Zacharias,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://nz.linkedin.com/in/hamishwatson8
Contact: http://www.sqlservercentral.com/blogs/the-hybrid-dbas-blog/
Hamish Watson is a Microsoft Data Platform MVP and VMware Expert with a passion for efficient database and application deployment using DevOps methodologies. He has 20+ years of IT experience in managing and deploying large scale databases on SQL Server technologies. He has been managing SQL Server since SQL Server 2000, and pragmatic approaches to delivering business value to clients is his career passion. Educating and helping others learn is a driver for Hamish. He is a Director-At-Large on the PASS Board, international speaker, and a repeat guest lecturer at a local university.
LinkedIn: http://ca.linkedin.com/in/melodyzacharias
Contact: http://sqlmelody.com
Melody is the Sr. Microsoft Solutions Manager at Pure and has been in love with data since 1991. She has been sharing her passion with the community in technical sessions and blogs since 2014. She has been a Microsoft MVP since 2016, including winning Rookie of the year for Canada that year. This last year, she was elected to the board of directors for PASS.org, the professional association for SQL Server and was awarded Regional Director by Microsoft. She has co-authored 3 books, including, SQL Server 2019 Administration inside out by Microsoft Press.
LinkedIn: https://www.linkedin.com/in/jputtman/
John started working with data in the late 90's, and has been using SQL Server since version 7.0. He has led development projects in distribution, manufacturing and ecommerce. He has worked as a developer doing greenfield development. He has worked with companies in the US, Canada and the UK leading ERP integrations, implementations and custom development. His focus in the last few years has been in performance tuning ERP systems with a focus on SQL Server tuning.
LinkedIn: https://www.linkedin.com/in/kkravtsov/
Contact: http://nvarscar.wordpress.com
DBA for more than 10 years, Powershell enthusiast and major dbatools contributor. I'm also a huge fan of DevOps mentality and an active Jenkins user, which left me with no choice other than using and developing tools that automate most of the aspects of the database management. In my free time I enjoy travelling, playing video games, heavy metal music and many more.
Contact: http://www.ssis-components.net
Oliver Engels is CEO of oh22data AG, a Microsoft Gold Partner in Germany specializing in CRM and BI. His special interests are Azure, Data Governance and Integration, Visualisation Tools like SSRS, Power BI, Tableau, R, and SharePoint. He has worked with SQL Server since version 6.5 and is a founder and Board member of PASS Germany, a PASS Regional Mentor, and runs the Frankfurt PASS Local Group. For more than seven years he is a Microsoft Data Platform MVP and a Microsoft pTSP.
Robert is a highly qualified data warehouse professional with over fifteen years’ experience in dimensional modelling and twenty years as a database administrator. He has worked in multiple roles including project manager, team lead, data warehouse architect, as well as etl developer and has built data warehouse solutions on DB2, Oracle, and Microsoft SQL Server. Today, he is a data warehouse architect with Island Health in British Columbia Canada supporting both business reporting and health data research needs. Robert has a M.Sc. in Health Informatics and is the author of papers in both Data Quality and designing data warehouse solutions for health research.
LinkedIn: http://www.linkedin.com/pub/pam-lahoud/0/37b/655/
Contact: http://sqlgoddess.com
Pam Lahoud is a Program Manager in Azure Data, based in Redmond, WA, USA. She has been with Microsoft since 2006 and is currently responsible for Program Management of database engine features for in-market and vNext versions of SQL Server, with a special focus on the Storage Engine area. She is passionate about SQL Server performance and has focused on performance tuning and optimization, particularly from the developer perspective, throughout her career. She is a SQL 2008 MCM with over 20 years of experience working with SQL Server.
LinkedIn: https://ca.linkedin.com/in/rabryst
Contact: https://bornsql.ca/blog/
Randolph West (they / them), founder of Born SQL, is an independent IT consultant, speaker, Calgary PASS user group leader, Microsoft Data Platform MVP, and lead author of “SQL Server 2019 Administration Inside Out”. Randolph specialises in SQL Server performance tuning, disaster recovery, and migrations from really old versions, with an emphasis on implementing best practices. Randolph has presented at PASS Summit, SQLBits, SQL Saturdays, and user groups. You can also find Randolph acting and directing on screen or the stage, or annoying people on Twitter. Do not trust Randolph around chocolate.
LinkedIn: https://www.linkedin.com/in/dmitryanoshin/
Dmitry Anoshin is a Practice Director Cloud Analytics and Data Engineering at Rock Your Data. His mission is to provide high-quality analytic solutions for Canadian companies and help them drive business with informed decisions by leveraging powerful and modern cloud capabilities. He has a solid experience in building End-to-End Analytics solutions across many business industries. Moreover, he is the author of 5 books and often present at North America conferences .
LinkedIn: https://www.linkedin.com/in/olgagould/
BI and Data Analytics instructor for the Continuing Studies Department and Entrepreneurship instructor for the Business School at University of Victoria . Consultant with over 24 years of experience applying BI and Data Analytics at the senior level in different areas such as Corporate Finance, Operations, Project Management, and Marketing to support business decision-making processes. Business owner of a consulting company that protects digital copyrights of entertainers and advises entertainers in their entrepreneurial initiatives. Entrepreneurship published author. BSc Industrial Engineering. Business concentration MSc Industrial Engineering in Operations Research and Statistics MSc Computer Science. University of Victoria (C)
Contact: https://blog.sqldoch.ca/
Originally a statistical process control specialist, the lure of working with data could not keep Christopher away for long. From planning logistics operations as an officer in the military, or building up end to end business intelligence solutions in higher education or just building up data mining algorithms on his data lab at home, Christopher can only be described as a avid enthusiast of the data platform. He can be reached through his ongoing blog at SQLDoch.ca and is always open to discussing new ideas and methods to improve.
He has been an MS SQL DBA since 1997 starting with 6.5. Worked with 7/2000/2005/2008/2008R2/2012/2014/2016 and 2019 during those 23 years. He has attended 14 Pass Summits, 3 SQLCruises and 2 SQLConnections conferences. He has been the Communications Director for EDMPASS chapter since its inception in 2008. Spoken at 6 SQL Saturdays including the keynote at SQL Saturday 710 Edmonton in 2018. Passionate about SQL and educating himself to know more about it. He has migrated systems while always attempting to take advantage of any new features from 7.0 all the way to 2014 and 2016 and now 2019 He has learned and implemented lots of best practices from SQL Server MVPs.
LinkedIn: http://www.linkedin.com/pub/rick-lowe/a/228/441/
Contact: http://dataflowe.wordpress.com/
Rick is a Microsoft Certified Master with more than 20 years of SQL Server experience in a variety of roles. He currently lives in Washington state and works as an independent consultant providing remote performance DBA and performance tuning services for clients in the USA and Canada. His first exposure to SQL Server was as a database developer, but over time he became more and more interested in how the database engine operated... eventually specializing more on performance issues than code. Rick will work with all things relational, but most enjoys helping smaller companies get better performance from MSSQL, as well as smoothing over relationships between DBA and development teams.
LinkedIn: http://is.linkedin.com/in/asgeirgun
Ásgeir Gunnarsson is a Data Platform MVP and Chief Consultant at Datheos in Denmark. He works on Business Intelligence solutions using the whole of the Microsoft BI stack. Ásgeir has been working in BI since 2007 both as a consultant and internal employee. Before turning to BI, Ásgeir worked as a technical trainer and currently teaches BI courses at the Continuing Education Department of the University of Iceland. Ásgeir speaks regularly at events both domestically and internationally, and is the group leader of the Icelandic PASS Group, as well as the Icelandic Power BI User Group. Ásgeir is passionate about data and loves solving problems with BI.
LinkedIn: https://www.linkedin.com/in/joseph-yeates-bba5663a/
Contact: https://www.feathersanalytics.com
Joseph is a data enthusiast and blogs about all things Power BI on Feathers Analytics. He has a passion for crafting compelling data narratives and making insights accessible to a wider range of users through visualization. He holds the Certified Analytics Professional designation as well as a DBA certification with a focus on SQL Server Analysis Reporting Services. He uses R Studio, Power Query and Power BI to model, manipulate, analyze, and visualize data. He integrates R into Power BI to bring the power of predictive analytics into reports and dashboards. He is a member of the Vancouver Power BI User Group and has presented on Power BI Tips Tricks and Predictive Analytics with R in Power BI.
LinkedIn: http://www.linkedin.com/in/scottstauffer
Contact: http://scottstauffer.ca
Scott Stauffer (@SQLSocialite) is very PASSionate about data and enjoys meeting with like-minded data geeks. He started the Vancouver PASS Chapter in 2004. In 2008, Scott was recognized by Microsoft with a SQL Server MVP award. In 2009, Scott started a PASS BI Chapter in Vancouver, and was also at one time the PASS Regional Chapter Mentor for Canada. For over 10 years he has been an independent consultant working with clients to solve their data woes and extract insight from their business data.
LinkedIn: https://nz.linkedin.com/in/hamishwatson8
Contact: http://www.sqlservercentral.com/blogs/the-hybrid-dbas-blog/
Hamish Watson is a Microsoft Data Platform MVP and VMware Expert with a passion for efficient database and application deployment using DevOps methodologies. He has 20+ years of IT experience in managing and deploying large scale databases on SQL Server technologies. He has been managing SQL Server since SQL Server 2000, and pragmatic approaches to delivering business value to clients is his career passion. Educating and helping others learn is a driver for Hamish. He is a Director-At-Large on the PASS Board, international speaker, and a repeat guest lecturer at a local university.
LinkedIn: https://www.linkedin.com/in/kosinsky/
Konstantin is an industry expert who loves optimizing the performance at least in 10x. More data - more fun. Konstantin is a Principal Software Engineer at Azure DevOps Services, where he works on moving the Analytics for software engineering to a completely new level. Konstantin was born and had been working in Ukraine for a long time, passionately sharing his knowledge with Ukrainian and other European data communities. Before joining Microsoft in 2012, he was a Data Platform MVP for many years.
LinkedIn: https://www.linkedin.com/in/riaantischendorf/
Almost 20 years of experience of buying, using and selling technology, has given me a rich background of not only technology, but how to operationalize and apply it to today's ever changing business needs. Always interested in how to do things better, smarter and how to gain more insight into how various decisions affect your business outcomes. Data is the new oil, and it is this data that provides today's businesses with the platform to make data driven decisions and gain the edge against competitors!
LinkedIn: https://www.linkedin.com/in/sgojgini/
Product Director at Datateam Services, 10+ years of experience designing data warehouse model and ETL engines used globally. Had a chance of working on world biggest relational Data Warehouse at Amazon managing 5+ PetaByte of data with growth 7+ TeraByte daily. Seeking to apply best software development practices to ETL development and streamlining development process.
LinkedIn: https://ca.linkedin.com/in/kenpuls
Contact: https://www.excelguru.ca/blog
Ken Puls, FCPA, FCMA is a Chartered Professional Accountant, author, and trainer. With over 20 years of experience as a corporate controller and business owner, he has been exposed to many business systems, databases, and analysis tools, leading to a career of building Excel and Power BI-driven applications to harness data and turn it into management information. A Microsoft Excel/Data Platform MVP since 2006 and author of 2 books, Ken has also been recognized as a Fellow of CPA Canada.
LinkedIn: http://www.linkedin.com/in/russloski
Contact: http://www.sqlmovers.com
Russ Loski is a SQL Server BI Developer based in Dallas-Fort Worth. He current works as a Data Analytics Engineer for Navisite, a remote managed IT services company. Twenty years ago, he began working with SQL Server 6.5. He has since continued to develop applications connected to all of the versions of SQL Server. He has worked with clients in industries from insurance to healthcare, from movie theaters to American football. Russ is a regular speaker at SQLSaturday events, as well as the SQL Server Users Groups in the North Texas region. Russ likes working with data in various shapes.
LinkedIn: http://www.linkedin.com/in/richjcampbell
Richard Campbell wrote his first line of code in 1977. His career has spanned the computing industry both on the hardware and software sides, development and operations. He was a co-founder of Strangeloop Networks, acquired by Radware in 2013 and was on the board of Telerik which was acquired by Progress Software in 2014. Today he is a consultant and advisor to a number of successful technology firms and is the founder and chairman of Humanitarian Toolbox (www.htbox.org), a charity that builds open source software for disaster relief. Richard is also the host of two podcasts: .NET Rocks! (www.dotnetrocks.com) which publishes two shows a week to .NET developers and RunAs Radio (www.runasradio.com) which is a weekly show for IT Pros.
LinkedIn: https://www.linkedin.com/in/sqlservernerd
A Microsoft Data Platform MVP, Brandon manages the DB Operations team for financial company x. With a data estate of several petabytes, he puts a high focus on performance tuning and automation. He is a frequent speaker at events like conferences and user groups.
LinkedIn: https://www.linkedin.com/in/richard-baumet
Rich Baumet has been working in the Database field since 2001. 18+ years as DBA, Data Architect and just all around data guy for RBC Global Asset Management (previously Philips, Hager North Investment Management Ltd.). Has recently taken on a new role at Softlanding Solutions as a Data Platform Specialist in September 2019. His main focus is on the data platform with in the Microsoft space. He has served as a local PASS Chapter leader and presented at SQL Saturdays in Vancouver and Redmond. He is also an avid cyclist taking part in the Ride to Conquer Cancer, and local Gran Fondos.
The following is a list of sponsors that helped fund the event.


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Dynamic ExtensionsAdditional I/O is generated by the extension of segments. Remember that segments are allocated for data in the database at creation time. As the table grows, extents are added to accommodate this growth. Dynamic extension not only causes additional I/Os, it also causes additional SQL statements to be executed. These additional calls, known as recursive calls, as well as the additional I/Os can impact performance. You can check the number of recursive calls through the dynamic performance table, V$SYSSTAT. Use the following command: SQL> SELECT name, value 2 FROM v$SYSSTAT 3 WHERE name = 'recursive calls'; NAME VALUE ---------------------------------------------------------------- -------- recursive calls 5440 Check for recursive calls after your application has started running and then 15 to 20 minutes later. This information will tell you approximately how many recursive calls the application is causing. Recursive calls are also caused by the following:
As you can see, many other conditions can also cause recursive calls. One way to check whether you are creating extents dynamically is to check the table DBA_EXTENTS. If you see that many extents have been created, it may be time to export your data, rebuild the tablespace, and reload the data. Sizing a segment large enough to fit your data properly benefits you in two ways:
Try to size your segments so that dynamic extension is generally avoided and there is adequate space for growth. PCTFREE and PCTUSED Command OptionsAnother way to improve performance and decrease overhead is to use the PCTFREE and PCTUSED options of the STORAGE clause in the CREATE CLUSTER, CREATE TABLE, CREATE INDEX, and CREATE SNAPSHOT commands. By using PCTFREE and PCTUSED, you have more exact control over the use of the data blocks themselves. In many cases, knowing your application and your data can help you improve overall system performance. You use PCTFREE and PCTUSED for several purposes. Both options are of a performance nature and are space related. PCTFREE and PCTUSED can effectively speed up access to data blocksbut at the price of wasting space if youre not careful. Another important effect of PCTFREE and PCTUSED is to reduce chaining. Think of PCTFREE as a high water mark and PCTUSED as a low dab water mark. If the space in a data block is such that there is less space left than PCTFREE, no new rows can be added in that block until the amount of space in the table is less than PCTUSED. The sum of PCTFREE and PCTUSED cannot exceed 100. Because PCTFREE actually represents a high water mark of 100 PCTFREE, if the sum of the two exceeds 100, there is an inconsistency in the formula and PCTFREE would be less than PCTUSED.
PCTFREE PCTFREE has the effect of reserving space in the data block for growth of existing rows. New rows can be added to the data block until the amount of space remaining in the data block is less than PCTFREE percent. A high PCTFREE value has the following effects:
A lower PCTFREE value has the opposite effects:
Using PCTFREE can help if you have an application that frequently inserts new data into rows. Because the PCTFREE option is used in the CREATE CLUSTER, CREATE TABLE, CREATE INDEX, and CREATE SNAPSHOT commands, it is worth the effort to look at each of your tables, clusters, and indexes individually and decide on an effective PCTFREE value for each.
|
| 702 |
|


else:
os.mkdir(build_root)
project_tree_key = storage.put(FileSystemProjectTree(build_root))
tasks = list(tasks) + create_fs_tasks(project_tree_key)
scheduler = LocalScheduler(goals,
tasks,
storage,
os.mkdir(build_root)
tasks = list(tasks) + create_fs_tasks()
project_tree = FileSystemProjectTree(build_root)
scheduler = LocalScheduler(goals, tasks, storage, symbol_table_cls, project_tree)
return scheduler, build_root
def execute(self, scheduler, product, *subjects):


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.FrontendAppConfig @import uk.gov.hmrc.hmrcfrontend.views.html.components._ @import uk.gov.hmrc.hmrcfrontend.views.html.helpers._ @import views.html.helper.CSPNonce @import uk.gov.hmrc.hmrcfrontend.views.config.StandardBetaBanner @this( hmrcLayout: HmrcLayout, hmrcTimeoutDialog: HmrcTimeoutDialog, hmrcReportTechnicalIssueHelper: HmrcReportTechnicalIssueHelper, siteHeader: components.siteHeader, standardBetaBanner: StandardBetaBanner ) @(pageTitle: Option[String] = None, beforeContentBlock: Option[Html] = None, backLink: Boolean = false, signOutLink: Boolean = true)(contentBlock: Html)(implicit request: Request[_], messages: Messages, appConfig: FrontendAppConfig) @head = { } @scripts = { } @content = {


My Survey
Welcome John!
Take a Survey
Create/Edit a Survey
Preferences
Testing123
This is only a test
John A Smith
Answer the Following Questions
Question 1: Question One
yes
no
Write In (Optional)
Question 2: Question Two
Choice 1
Choice 2
Choice 3
Question 3: Boxers or briefs?
Boxers
Briefs
Question 4: Paper or plastic?
Paper
Plastic


How can a deeper understanding of feeling and thinking help us define our ideal relationships with future machines?
How can a deeper understanding of feeling and thinking help us define our ideal relationships with future machines?
How can a deeper understanding of feeling and thinking help us define our ideal relationships with future machines?


angular collapset
Click Me
{{longtext}}
CSS collapset
{{longtext}}
table cell
name
content
This cell has more content.This cell has more content.This cell has more content.This cell has more content.This cell has more content.This cell has more content.
Less content here.


source
code documentation
dumpdev.c File Reference
Detailed Description
Dummy network adapter that will simulate a network adapter and dump all packets.
- Author:
- Christian Scheurer <http://www.christianscheurer.ch>
OUTLINE:
This simple dummy network interface can be used to debug ipsec and the lwIP stack by injecting a sequence of previously dumped packets. All INBOUND (from the dumpdev into higher protocol layers such as ipsec or TCP/IP) and OUTBOUND (data coming from the TCP/IP and ipsec stack, ready to be sent out i.g. in an Ethernet frame over the wire) packets are dumped using the printf() function. This allows a simple verification of the fed traffic.
IMPLEMENTATION:
A sequence of previously dumped packets can be used as input. An example of a ping sequence can be found in "dumpdev-pingdata.h".
NOTES:
It may be useful to modify the dumpdev code in order to allow automatic verification of the outbound traffic.
This document is part of embedded IPsec
Copyright (c) 2003 Niklaus Schild and Christian Scheurer, HTI Biel/Bienne
All rights reserved.
Definition in file dumpdev.c.
#include "lwip/mem.h"
#include "netif/etharp.h"
#include "netif/dumpdev.h"
#include "ipsec/debug.h"
#include "ipsec/util.h"
#include "testing/functional/ipsec-lwip-integration/dumpdev-httpgetdata.h"
Go to the source code of this file.
Define Documentation
| #define DUMPDEV_IGNORE_RESPONSE
|
|
|
|
If defined, response of upper level stacks (ipsec/TCP/IP) will not be verified against the dumped response packets
- Todo:
- this feature is not implemented
Definition at line 75 of file dumpdev.c. |
| #define DUMPDEV_NAME0 'd'
|
|
|
|
1st letter of device name "dp"
Definition at line 67 of file dumpdev.c. |
| #define DUMPDEV_NAME1 'p'
|
|
|
|
1st letter of device name "dp"
Definition at line 68 of file dumpdev.c. |
| #define DUMPDEV_USE_HTTPGET_DATA
|
|
|
|
If DUMPDEV_USE_HTTPGET_DATA is defined, a recored ping sequence between PC (<IP_ADDRESS>) and MCB167-NET board (<IP_ADDRESS>) will be used and its content will be fed the upper level protocols.
- Warning:
- this dataset has to be used in a mutual exclusive manner (only one dataset may be active at once)
Definition at line 89 of file dumpdev.c. |
Function Documentation
| err_t dumpdev_init |
( |
struct netif * |
netif |
) |
|
|
|
|
Initialize the dump network device
This function must be called prior to any other operation with this device. It sets the device name, MAC address, initializes statistics and performs general configuration of the "dumpdev" device.
- Parameters:
-
| netif | lwIP network interface data structure for this device. The structure must be initialized with IP, netmask and gateway address. |
- Returns:
- err_t return code
Definition at line 389 of file dumpdev.c. |
| void dumpdev_input |
( |
struct netif * |
netif |
) |
|
|
|
|
This function is used to transfer a received packet in newly allocated pbuf-memory and pass it to upper protocol layers.
Note: this is the place where the dumped packets are injected and passed to higher protocol layers. It simulates the reception of a packet over the physical connection.
- Parameters:
-
| netif | initialized lwIP network interface data structure of this device |
- Returns:
- void
- Todo:
- simulate reception of new packets HERE
replace this loop with memcpy()
ATTENTION: should be real IP, not -1
If there is no INBOUND packet in the input queue, inject a sample ESP packet to check the stacks behavior
Definition at line 215 of file dumpdev.c. |
| err_t dumpdev_netlink_output |
( |
struct netif * |
netif, |
|
|
struct pbuf * |
p |
|
) |
|
|
|
|
This function simulates the low-level network interface
Note: This function does currently nothing but return ERR_OK
- Parameters:
-
| netif | initialized lwIP network interface data structure of this device |
| p | pbuf containing a complete Ethernet frame as payload |
- Returns:
- err_t status
Definition at line 368 of file dumpdev.c. |
| err_t dumpdev_output |
( |
struct netif * |
netif, |
|
|
struct pbuf * |
p, |
|
|
struct ip_addr * |
ipaddr |
|
) |
|
|
|
|
This function is used to send a packet out of the network device.
Before dumping the frame (which is equivalent to sending data over the wire in a real Ethernet driver), the MAC address must be resolved using the ARP module. After the MAC address has been found, the packet will be "sent" (dumped).
Note: this is the place where an automated check of outbound data can be added.
- Parameters:
-
| netif | initialized lwIP network interface data structure of this device |
| p | pbuf containing a complete Ethernet frame as payload |
| ipaddr | destination address |
- Returns:
- err_t status
Definition at line 341 of file dumpdev.c. |
| void dumpdev_service |
( |
struct netif * |
netif |
) |
|
|
|
|
This function must be called at regular intervals (i.g. 20 times per second). It will allow the dump device driver to perform pending operations, such as emptying the transmit buffer or feeding newly received data into the TCP/IP stack.
- Parameters:
-
| netif | initialized lwIP network interface data structure of this device |
- Returns:
- void
Definition at line 198 of file dumpdev.c. |
| void ipsec_debug_dumppbufs |
( |
char * |
prefix, |
|
|
struct pbuf * |
data |
|
) |
|
|
|
|
This helper function prints the payload of a pbuf packet buffer - Parameters:
-
| prefix | pointer to string (this text will be displayed at the beginning of each line) |
| data | pointer to pbuf packet buffer data structure |
- Returns:
- void
Definition at line 150 of file dumpdev.c. |
Variable Documentation
|
|
Initial value:
{
0x00, 0xA0, 0x24, 0x15, 0x3E, 0x12, 0x00, 0xE0, 0x29, 0x25, 0x60, 0x6C, 0x08, 0x00, 0x45, 0x00,
0x00, 0x64, 0x79, 0x28, 0x00, 0x00, 0x40, 0x32, 0x7D, 0xC4, 0xC0, 0xA8, 0x01, 0x28, 0xC0, 0xA8,
0x01, 0x03, 0x00, 0x00, 0x10, 0x06, 0x00, 0x00, 0x00, 0x01, 0xA7, 0x36, 0xBA, 0x27, 0x8D, 0x39,
0xC5, 0x09, 0x49, 0x26, 0x53, 0x04, 0x07, 0xC9, 0x4D, 0xBB, 0x16, 0x59, 0x0E, 0x4E, 0x0B, 0x35,
0xBD, 0x56, 0x0A, 0x84, 0x26, 0x8E, 0x24, 0x8D, 0xB7, 0xAE, 0x8C, 0x59, 0x3F, 0x0C, 0x40, 0x22,
0x2B, 0x82, 0xA3, 0xC8, 0x3D, 0xDB, 0x0B, 0xA9, 0xD7, 0x81, 0x1A, 0x52, 0xC3, 0x26, 0xDB, 0x19,
0xCB, 0xFF, 0x67, 0xA3, 0xA0, 0x04, 0x94, 0x8E, 0x36, 0xE4, 0xBF, 0xDF, 0x61, 0xBA, 0xCB, 0xB5,
0xBA, 0xE9,
}
sample ESP packet
single ESP TCP SYN packet (FreeS/WAN configuration "manual6" used) -------
conn manual6 authby=manual left=<IP_ADDRESS> leftid= right=<IP_ADDRESS> rightid= esp=3des spi=0x1006 espenckey=0x01234567_01234567_01234567_01234567_01234567_0123456
Definition at line 116 of file dumpdev.c. |
|
|
Initial value:
{
0x00, 0xE0, 0x29, 0x25, 0x60, 0x6C, 0x00, 0xE0, 0x29, 0x15, 0x1C, 0x41, 0x08, 0x00, 0x45, 0x00,
0x00, 0x3C, 0x07, 0xF5, 0x00, 0x00, 0x80, 0x01, 0xAF, 0x78, 0xC0, 0xA8, 0x01, 0x02, 0xC0, 0xA8,
0x01, 0x01, 0x08, 0x00, 0x40, 0x5C, 0x05, 0x00, 0x08, 0x00, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66,
0x67, 0x68, 0x69, 0x6A, 0x6B, 0x6C, 0x6D, 0x6E, 0x6F, 0x70, 0x71, 0x72, 0x73, 0x74, 0x75, 0x76,
0x77, 0x61, 0x62, 0x63, 0x64, 0x65, 0x66, 0x67, 0x68, 0x69,
}
sample ICMP Ping packet
Definition at line 106 of file dumpdev.c. |
|


fileutil::magic::rt - Runtime core for file type recognition engines written in pure Tcl
This package provides the runtime core for file type recognition engines written in pure Tcl and is thus used by all other packages in this module such as fileutil::magic::filetype and the two compiler packages fileutil::magic::cgen and fileutil::magic::cfront.
Increment the level and perform related housekeeping
Decrement the level and perform related housekeeping
Create a new command which returns one description of the file each time it is called, and a code of break when there are no more descriptions. chan is the channel containing the data to describe. The channel configuration is then managed as needed. named is a dictionary of named tests, as generated by fileutil::magic::cfront::compile. test is a command prefix for a routine composed of the list of commands as returned by fileutil::magic::cfront::compile.
This command marks the start of a magic file when debugging. It returns the empty string as its result.
This command adds the text msg to the result buffer. The message may contain the following special character sequences. They will be replaced with buffered values before the message is added to the result. The command returns the empty string as its result.
This sequence is removed
Replaced with the last buffered string value.
Replaced with the last buffered numeric value.
See above.
Substitute one string if the file is executable, and another string otherwise.
Produce an offset from where, relative to the cursor one level up. Produce an offset from where, relative to the offset one level up.
A limited form of ::fileutile::magic::rt::N that only checks for equality and can't be told to invert the test.
Fetch the numeric value with type from the absolute location offset, compare it with expected using comp as the comparision operator, and returns the result.
The argument comp must be one of Tcl's comparison operators.
<comp> <fetched-and-masked-value> <comp> <expected>
The special comparison operator x signals that no comparison should be done, or, in other words, that the fetched value will always match val.
Like ::fileutil::magic::rt::N except that it fetches and compares string types , not numeric data.
Sets the current level in the calling context to newlevel. The command returns the empty string as its result.
Calculates an offset based on an initial offset and the provided modifiers.
Given an initial offset, calculates an offset relative to the cursor at the next level up. The cursor is the position in the data one character after the data extracted from the file one level up.
Add a level and use a named test script.
8-bit integer
16-bit integer, stored in native endianess
see above, stored in big endian
see above, stored in small/little endian
32-bit integer, stored in native endianess
see above, stored in big endian
see above, stored in small/little endian
All of the types above exit in an unsigned form as well. The type names are the same, with the character "u" added as prefix.
32-bit integer timestamp, stored in native endianess
see above, stored in big endian
see above, stored in small/little endian
32-bit integer timestamp, stored in native endianess
see above, stored in big endian
see above, stored in small/little endian
This document, and the package it describes, will undoubtedly contain bugs and other problems. Please report such in the category fileutil :: magic of the Tcllib Trackers. Please also report any ideas for enhancements you may have for either package and/or documentation.
When proposing code changes, please provide unified diffs, i.e the output of diff -u.
Note further that attachments are strongly preferred over inlined patches. Attachments can be made by going to the Edit form of the ticket immediately after its creation, and then using the left-most button in the secondary navigation bar.
Programming tools


Prepare Month 9 claim
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Firm: Howells LLP | Account number: 2M282N | Scheme: Sheffield
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Overview of MCollective Components and Configuration
This page is informational, not practical. It describes MCollective’s components and global configuration.
- For an overview of deployment topics, see the deployment index page.
- To try MCollective now, see the Vagrant demo toolkit.
- To deploy MCollective into your production environment, see the standard deployment getting started guide.
The MCollective Components
The architecture of MCollective is based around three main components: servers, clients, and the middleware. Servers and clients also use various sub-components, which are mentioned in their respective sections.
Terminology notes:
If you’re familiar with Puppet, note that MCollective uses the term “server” a bit differently.
- Instead of thinking “web server” or “puppet master server,” think “SSH server.” These are machines that mainly perform some other business purpose, but are also listening for MCollective requests.
- From the user’s perspective, servers accept inbound requests and react to them. From the middleware’s perspective, servers are just another kind of client — they proactively initiate a connection and subscribe to the types of messages they care about.
The term “agent” is also different. In Puppet, the agent is a daemon that fetches and applies configurations — the equivalent of the
mcollectived
server daemon. In MCollective, an agent is just a bundle of actions distributed as a plugin.
Thing Puppet MCollective Service that makes changes to the system puppet agent mcollectived
server daemonPlugins that enable new actions/functionality types and providers agent plugins
Servers
An MCollective server (often just called a “node”) is a computer which can be controlled via MCollective. Servers run the MCollective daemon (mcollectived
), and have any number of agent plugins installed.
The mcollectived
service uses several kinds of plugin:
- A connector plugin to connect to the middleware and poll it for requests (and send replies)
- A security plugin to validate and filter those requests (and encode replies)
- Several agent plugins to execute actions from requests
The connector and security plugins are mandatory, and the clients must use the same ones as the servers.
Optionally, servers might also use:
- A registration plugin to send a heartbeat and metadata to some kind of inventory database
- Data plugins to enable more complicated request filtering
- An authorization plugin to authorize requests on a per-action basis
- An audit plugin to log all requests, centrally or locally
Clients
An MCollective client can send requests to any number of servers, using a security plugin to encode and sign the request and a connector plugin to publish it. (These plugins have to match the security and connector used by the servers.) It can also receive replies from servers, and format the response data for a user or some other system.
The most common client is the mco
command-line client, which can be used interactively or in scripts. It’s also relatively easy to write other clients in Ruby, which can be used as backends for GUI apps or as glue in a reactive infrastructure of some kind.
Like servers, clients use several kinds of plugin:
- A connector plugin to connect to the middleware and send requests (and subscribe to replies)
- A security plugin to validate and filter those requests (and encode replies)
- Several agent plugin DDL files for constructing valid requests
(As mentioned above, servers use agent plugins to execute actions. Since clients request these actions, they need to know which actions are available and what kinds of arguments they require. To do this, they use the DDL file from each agent they care about. These files describe actions and their inputs to enable early validation, and also tell the client how to format and summarize responses for the user.)
Optionally, clients might also use:
- Extra discovery plugins to get lists of which server nodes will respond to a request (The default discovery method uses empty MCollective messages to find nodes, and querying a central database can sometimes be faster.)
- Validator and aggregate plugins for checking and formatting data (These can be referenced by the agent DDL files.)
- Application plugins to add custom subcommands to the
mco
command
Middleware
MCollective clients and servers don’t communicate directly: they expect to be connected to some middleware system that knows how to route messages. They then publish messages to the middleware, and subscribe to messages they are interested in.
This middleware system is external to MCollective, and everything that interacts directly with it is pushed out into a connector plugin (which needs some limited knowledge about the topology and configuration of the middleware). As far as everything but the connector is concerned, the middleware is an abstract cloud of magic:
The connector and middleware handle three main kinds of messages:
- Broadcast requests (client-to-server)
- Directed requests (client-to-server)
- Replies (server-to-client)
See the middleware overview page for info about the most common middleware options.
Global Configuration and Deployment Decisions
Some MCollective configuration is global, and must match for all components. Deploying will be easier if you figure this configuration out first.
The standard deployment guide makes several of these decisions for you, and goes into greater detail about the rest.
The main kinds of shared configuration are:
- Middleware type and connector
- Security plugin
- Agent plugins
- Subcollectives
- Authorization policies
Middleware Type and Connector
All servers and clients must be using the same connector plugin, and it must match the middleware type you’ve chosen for the deployment.
Additionally, the way your middleware is configured will usually dictate some extra settings for the connector plugin. These generally include:
- Hostname(s) and port(s)
- Username and password
- Whether to use SSL
- SSL credentials (if using CA verification)
Security Plugin
All servers and clients must be using the same security plugin. If it requires credentials for authentication, the servers will have to be configured to accept the clients’ credentials (and vice-versa). Each security plugin has its own requirements re: credentials and their distribution.
- The SSL security plugin (recommended)
- The PSK security plugin (only recommended for demo environments)
- The AES security plugin (only recommended in special cases)
Agent Plugins
MCollective servers need agent plugins in order to do anything. Not every server needs the same set, but clients will need the agent DDL files for any agent they want to trigger actions from. This means you’ll need central knowledge of what agents are in use.
Subcollectives
If you’re dividing your site into subcollectives for security or traffic reduction, the list of collectives (and the business rules for which nodes use which) is another piece of global configuration.
- Servers and clients need to know which collectives they should subscribe to and send requests to, and their expectations need to be aligned. (If you send requests on a subcollective no one else knows about, you won’t get anything interesting back.)
- The middleware will need to know about them as well, since subcollectives are implemented in the connector plugin. See the configuration help for your specific middleware — you’ll probably want to either limit certain users from accessing some collectives or prevent certain traffic from crossing inter-datacenter connections, and these restrictions have to be configured in the middleware itself rather than in MCollective.
Authorization Policies
If you are using an authorization plugin like ActionPolicy, you’ll need to configure its policies appropriately on every server. The rules for the policies must match the unique identities of the clients that will be sending requests, so the policies will be tied to your central knowledge of who and what the clients are.
With the ActionPolicy plugin, all policy files can safely be distributed to all servers, since each one defines which servers its rules apply to based on facts and other metadata.


WITNESS LIST Intergovernmental Relations Committee March 9, 2005 - 9:00A SB 118 FOR: Kerr, Scott (Plano Fire Fighters Association), Plano, TX Peterson, William Fire Chief (City of Plano), Plano, TX Registering, but not testifying: For: Cain, Randy (Texas Fire Chiefs Association), Austin, TX Higgins, Mike Chief of Staff (Texas State Association of Fire Fighters), Austin, TX Igo, Shanna (Texas Municipal League), Austin, TX SB 245 FOR: Bennett, Scott (Muscular Dystrophy Association), Round Rock, TX Higgins, Mike Chief of Staff (Texas State Association of Fire Fighters), Austin, TX Stretcher, Keith (City of Midland), Midland, TX ON: Denham, Norma (Muscular Dystrophy Association), San Antonio, TX Registering, but not testifying: For: Bresnen, Steve (Texas Association of Fire Fighters), Austin, TX Kerr, Scott (Plano Fire Fighters Association), Plano, TX Turner, Guy (Texas State Association of Fire Fighters), Abilene, TX On: Baker, Ed Divisional Field Representative (Muscular Dystrophy Association), Dallas, TX SB 350 FOR: McClendon, Sidney (St. Martin's Episcopal Church), Houston, TX Registering, but not testifying: For: Feld, Brian Attorney (St. Martin's Episcopal Church), Houston, TX On: Shelden, Frank (St. Martin's Episcopal Church), Houston, TX SB 466 Registering, but not testifying: For: Igo, Shanna (Texas Municipal League), Austin, TX SB 541 FOR: Amezquita, Michael (Texas Association of Appraisal Districts; Bexar Appraisal District), Austin, TX ON: Robinson, Jim Chief Appraiser (Harris County Appraisal District), Houston, TX Registering, but not testifying: For: Gonzalez, Daniel Director of Legislative Affairs (Texas Association of Realtors), Austin, TX Kerr, Scott (Self), Prosper, TX Against: Sterling, Edward (Texas Press Association, Texas Daily Newspaper Association), Austin, TX On: Winn, Gerald "Buddy" (Self), Bryan, TX SB 571 Registering, but not testifying: For: Brinkman, Pattie Owner (Texas Wine Industry/ Lost Creek Vineyard and Winery), Llano, TX Cottle, Robert President (Texas Wine & Grape Growers Association), Grapevine, TX Donley, Rick (The Beer Alliance of Texas), Austin, TX Elliott, Gary (Driftwood Vineyards), Driftwood, TX Gray, Alan (Licensed Beverage Distributors), Austin, TX Johnson, Jim Owner/ Winemaker (Alamosa Wine Cellars), Bend, TX Parker, Gabe Owner, Homestead Winery (Texas Wine & Grape Grower Association), Ivanhoe, TX Sparks, Robert Executive Director (Licensed Beverage Distributors, Inc.), Austin, TX Switzer, Cord (Fredericksburg Winery), Fredericksburg, TX White, Bob (Self), Whitewright, TX SB 692 FOR: Rothe, Greg (San Antonio River Authority), San Antonio, TX ON: Winn, Gerald "Buddy" (Self), Bryan, TX Registering, but not testifying: For: Powell, Leilah Government Relations Manager (Bexar County), San Antonio, TX


Syntactic Sugar
Week 1
Time and Habits
Week 1
Reflection
Week 2
Tech Blog #1
Week 2
Emotional Intelligence
Week 2
Tech Blog #2
Week 3
Website Design
Week 3
Meditation Process
Week 4
JavaScript Basics
Week 4
Daily Mindfulness
Week 5
Self-awareness
Week 5
Problem Solving
Week 6
Self-regulation
Week 6
JavaScript Operators
Week 7
Motivation
Week 8
JavaScript Scope


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See:
Description
| Interface Summary | |
|---|---|
| AnnotationVisitor | A visitor to visit a Java annotation. |
| ClassVisitor | A visitor to visit a Java class. |
| FieldVisitor | A visitor to visit a Java field. |
| MethodVisitor | A visitor to visit a Java method. |
| Opcodes | Defines the JVM opcodes, access flags and array type codes. |
| Class Summary | |
|---|---|
| Attribute | A non standard class, field, method or code attribute. |
| ByteVector | A dynamically extensible vector of bytes. |
| ClassAdapter | An empty ClassVisitor that delegates to another ClassVisitor . |
| ClassReader | A Java class parser to make a ClassVisitor visit an existing class. |
| ClassWriter | A ClassVisitor that generates classes in bytecode form. |
| Label | A label represents a position in the bytecode of a method. |
| MethodAdapter | An empty MethodVisitor that delegates to another
MethodVisitor . |
| Type | A Java type. |
Provides a small and fast bytecode manipulation framework.
The ASM framework is organized
around the ClassVisitor
,
FieldVisitor
and
MethodVisitor
interfaces, which allow
one to visit the fields and methods of a class, including the bytecode
instructions of each method.
In addition to these main interfaces, ASM provides a ClassReader
class, that can parse an
existing class and make a given visitor visit it. ASM also provides
a ClassWriter
class, which is
a visitor that generates Java class files.
In order to generate a class from scratch, only the ClassWriter
class is necessary. Indeed,
in order to generate a class, one must just call its visitXXX
methods with the appropriate arguments to generate the desired fields
and methods. See the "helloworld" example in the ASM distribution for
more details about class generation.
In order to modify existing classes, one must use a ClassReader
class to analyze
the original class, a class modifier, and a ClassWriter
to construct the modified class. The class modifier
is just a ClassVisitor
that delegates most of the work to another ClassVisitor
, but that sometimes changes some parameter values,
or call additional methods, in order to implement the desired
modification process. In order to make it easier to implement such
class modifiers, ASM provides the ClassAdapter
and MethodAdapter
classes, which implement the ClassVisitor
and MethodVisitor
interfaces by
delegating all work to other visitors. See the "adapt" example in the ASM
distribution for more details about class modification.
The size of the core ASM library, asm.jar, is only 42KB, which is much smaller than the size of the BCEL library (504KB), and than the size of the SERP library (150KB). ASM is also much faster than these tools. Indeed the overhead of a load time class transformation process is of the order of 60% with ASM, 700% or more with BCEL, and 1100% or more with SERP (see the test/perf directory in the ASM distribution)!
|
|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


NOTE!
- In version 2.3.6, these changes were made:
- Include filter input boxes placeholder text by adding
data-placeholder
to the column header cell; e.g.data-placeholder="First Name"
. See the examples in the HTML code block below. - Exact match added. Add a quote (single or double) to the end of the string to find an exact match. In the first column enter
Clark"
to only find Clark and not Brandon Clark. - Wild cards added:
?
(question mark) finds any single non-space character.
In the discount column, adding1?%
in the filter will find all percentages between "10%" and "19%". In the last column,J?n
will find "Jun" and "Jan".*
(asterisk) finds multiple non-space characters.
In the first column below EnterBr*
will find multiple names starting with "Br". Now add a space at the end, and "Bruce" will not be included in the results.
- Regex method added. Use standard regex within the filter to filter the columns. For example enter
/20[1-9]\d/
or/20[^0]\d/
in the last column to find all dates greater than 2009. - Added
filter_functions
option which allows you to add a custom filter function for a column or to a dropdown list. Please see the jQuery filter widget, advanced demo for more details.
- Include filter input boxes placeholder text by adding
- In version <IP_ADDRESS>, a filter header option and header class name check was added to allow disabling the filter in a specific column.
- In versions 2.3+, the filter widget can be disabled using any of the following methods, in order of priority:
- jQuery data
data-filter="false"
. - metadata
class="{ filter: false }"
. This requires the metadata plugin. - headers option
headers : { 0 : { filter: false } }
. - header class name
class="filter-false"
.
- jQuery data
- Replaced
widgetFilterChildRows
option withwidgetOptions.filter_childRows
(v2.1). - Added
widgetOptions.filter_startsWith
option which whentrue
, allows you to search the table from the starting of the table cell text. Use the toggle button to see the difference, and that it can be dynamically changed! (v2.1). - Added
widgetOptions.filter_cssFilter
option which allows you to defined the css class applied to the filter row and each search input. (v2.1). - Added
widgetOptions.filter_ignoreCase
option which makes the search case-insensitive, whentrue
. New! v2.3.4 - Added
widgetOptions.filter_searchDelay
option which delays the search giving the user time to type in the search string. New! v2.3.4 - Additional filter widget specific options are included in the javascript below, with explanations.
- Please note that using the pager plugin with this filter widget will have unexpected results - I haven't found a fix for this problem.
- This widget uses jQuery's
.nextUntil()
function which is only available is jQuery version 1.4+. As of tablesorter version 2.3, this widget can no longer be applied to the original plugin.. Fixed in v2.3.3.
Demo
filter_startsWith : false (if true, search from beginning of cell content only)filter_ignoreCase : true (if false, the search will be case sensitive)
| First Name | Last Name | Age | Total | Discount | Date |
|---|---|---|---|---|---|
| Philip Aaron | Johnson Sr Esq | 25 | $5.95 | 22% | Jun 26, 2004 7:22 AM |
| Aaron | Hibert | 12 | $2.99 | 5% | Aug 21, 2009 12:21 PM |
| Brandon Clark | Henry Jr | 51 | $42.29 | 18% | Oct 13, 2000 1:15 PM |
| Peter | Parker | 28 | $9.99 | 20% | Jul 6, 2006 8:14 AM |
| John | Hood | 33 | $19.99 | 25% | Dec 10, 2002 5:14 AM |
| Clark | Kent Sr. | 18 | $15.89 | 44% | Jan 12, 2003 11:14 AM |
| Bruce | Almighty Esq | 45 | $153.19 | 44% | Jan 18, 2021 9:12 AM |
| Alex | Dumass | 13 | $5.29 | 4% | Jan 8, 2012 5:11 PM |
| Jim | Franco | 24 | $14.19 | 14% | Jan 14, 2004 11:23 AM |
| Bruce Lee | Evans | 22 | $13.19 | 11% | Jan 18, 2007 9:12 AM |
| Brenda Lee | McMasters | 18 | $55.20 | 15% | Feb 12, 2010 7:23 PM |
| Dennis | Bronson | 65 | $123.00 | 32% | Jan 20, 2001 1:12 PM |
| Martha | delFuego | 25 | $22.09 | 17% | Jun 11, 2011 10:55 AM |
Page Header
<!-- blue theme stylesheet --> <link rel="stylesheet" href="../css/blue/style.css"> <!-- tablesorter plugin --> <script src="../js/jquery.tablesorter.js"></script> <!-- tablesorter widget file - loaded after the plugin --> <script src="../js/jquery.tablesorter.widgets.js"></script>
Javascript
CSS
/* filter widget, added to style.css themes */ table.tablesorter thead tr.filters input { width: 95%; -webkit-box-sizing: border-box; -moz-box-sizing: border-box; box-sizing: border-box; } table.tablesorter thead tr.filters, table.tablesorter thead tr.filters td { text-align: center; background: #fff; } /* optional disabled input styling */ table.tablesorter thead tr.filters input.disabled { opacity: 0.5; filter: alpha(opacity=50); }


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neon_download_s3.Rd
It is possible to copy the local neonstore (see [neon_dir()]
) to
an S3 bucket for faster shared access to a large store. This function
mimics the behavior of [neon_download()]
but accesses files directly
from such an S3 bucket.
Queries the AWS-S3 REST endpoint GET bucket for a file list
in (in 1000-file chunks), then filters file names to determine
what to download. Users must set the api
to the address of their S3
bucket to take advantage of this feature. For demonstration purposes,
an example S3 bucket is provided as the default. Note that data
obtained in this way is only as up-to-date or complete as the underlying
cache. Users should always draw from the NEON API using [neon_download()]
to ensure they have the most recent and complete data files.
neon_download_s3( product, table = NA, site = NA, start_date = NA, end_date = NA, type = "basic", release = NA, quiet = FALSE, verify = TRUE, dir = neon_dir(), get_zip = FALSE, unzip = FALSE, api = "https://minio.thelio.carlboettiger.info/neonstore/" )
| product | A NEON |
|---|---|
| table | Include only files matching this table name (or regex pattern). (optional). |
| site | 4-letter site code(s) to filter on. Leave as |
| start_date | Download only files as recent as ( |
| end_date | Download only files up to end_date ( |
| type | Should we prefer the basic or expanded version of this product? Note that not all products have expanded formats. |
| release | Select only data files associated with a particular release tag, see https://www.neonscience.org/data-samples/data-management/data-revisions-releases, e.g. "RELEASE-2021". Releases are associated with a specific DOI and the promise that files associated with a particular release will not change. |
| quiet | Should download progress be displayed? |
| verify | Should downloaded files be compared against the MD5 hash
reported by the NEON API to verify integrity? (default |
| dir | Location where files should be downloaded. By default will
use the appropriate applications directory for your system
(see |
| get_zip | should we attempt to download .zip archive versions of files?
default |
| unzip | should we extract .zip files? (default |
| api | URL to an S3 bucket containing raw NEON data files (in flat file structure like that used by neonstore). |
(invisibly) table of requested files and metadata
Note: at this time, release information associated with files in the store
is not available from neonstore S3 caches. As such, this mechanism is not
able to filter data for specific RELEASE tags, is which are only available
from the NEON API. Querying products by [neon_download()]
will update
the corresponding release tags.
# \dontshow{ # Users get confused by use of tempdir in examples, so hide Sys.setenv(NEONSTORE_HOME=tempdir()) # } # \donttest{ neon_download("DP1.10003.001", start_date = "2018-01-01", end_date = "2019-01-01", site = "YELL")#>#>


The task is to calculate the epidemiological parameters by comparing the output of mathematical models to data.
The vector borne model is split into two compartments
$\frac{dx}{dt} = mabz(1-x) - rx$ $\frac{dz}{dt} = acx(e^{-g\nu} - z) - gz$
Some pathogens may have a latent stage before an individual becomes Infectious. Typically this is called the $E$ or exposed stage
The progression of the pathogen would look something like this:


Kancolle Proxy Server
Enjoy full screen gameplay experience
Translated mission, ship lines, and items inside the game
Support 3rd party Kancolle viewers. KCV, KC3Kai, POI


--- layout: page title: "Preload" description: "This specification defines the preload keyword that may be used with link elements. This keyword provides a declarative fetch primitive that initiates an early fetch and separates fetching from resource execution." ---
| Document Name: | W3C TR http://www.w3.org/TR/preload |
|---|---|
| Document URI: |
http://www.w3.org/TR/preload
|
| Online Version: |
http://www.w3.org/TR/preload
|
| Organization: | World Wide Web Consortium (W3C) |
| Series: | Technical Report (TR) |
| Abstract: | This specification defines the preload keyword that may be used with link elements. This keyword provides a declarative fetch primitive that initiates an early fetch and separates fetching from resource execution. |
preload
Return to ( Series | Organization | all Specifications )


As with our vineyards, you’ll find that people in Noordhoek likewise take it slow. So too in the kitchen we take time in selecting fresh ingredients to compliment our Sauvignon Blanc driven wines.


Select test for this control..
Markup Version
|
API Version
Markup Version
Basic Charts
Basic Charts with Options
Test 1
3 charts: line, bar and pie
Test 1
3 charts: line, bar and pie
Pie has 0 radius - no hole and a legend
Bar chart has 0 degree angle (looks flat)
Line chart has custom background color and indicator=true (show line value tooltip)
Reload chart data for line chart
reload
API Version
API 1
Test 1
Create chart from markup and load data
Get instance of a chart and reload its data -
load


[ Regulation of intracellular cholesterol synthesis in hypercholesterolemia by glucocorticoids] The rate of endogenous cholesterol synthesis in blood lymphocytes and skin fibroblasts from patients with type IIa hyperlipidemia was found to be increased in comparison with healthy donors.
Abstract
The cells of hyperlipidemic patients had lowered levels of glucocorticoid receptors concomitantly with a partial loss of their sensitivity to glucocorticoids. In fibroblasts from patients with hereditary hypercholesteremia of homozygous type the number of glucocorticoid receptors did not exceed 10 % of their content in normal cells. The decrease of the number of glucocorticoid receptors in patients with type IIa hyperlipidemia seems to be a compensatory response of cells culminating in activation of endogenous cholesterol synthesis.


You can use d-class when you need to add conditional class to your element.
Syntax:
The "Conditional" is optional. In this case it will be true. The "classToBeUsedIfConditionalFails" is optional too
You can use it with multiple classes too


Ridiculous Finn Russell skill on full display as he nutmegs his way to Thomond Park try
Stop it!
by Sean FarrellTHERE ARE A lot of rugby players who earn the right to be described as ‘a footballer’.
But with Finn Russell producing skill like this, we’ll either have to reclassify a heap of them or give the Scot a moniker all of his own.
There was an advantage coming and Russell not only rolled the dice in search of a try, he deftly rolled the oval ball clean through Rory Scannell’s legs.
The Champions Cup clash at Thomond Park was already entertaining enough without Russell’s astounding extra flourish.
There was no following up that quality, but the match delivered plenty more drama as the sides played out a tense 21-21 draw.


[ Induction of apoptosis in lymphocytes by glucocorticoids: between physiology and pharmacology] Glucocorticoids are physiological molecules that are also extensively used in clinics as anti-inflammatory, immunosuppressive or anti-tumoral agents.
Abstract
Glucocorticoids can induce apoptosis on normal lymphoid cells and play a key role in the physiology of thymic selection. In clinics these molecules are also used for their potencies in inducing apoptosis of malignant lymphoid cells. Glucocorticoids are mediating their effects after binding to an intracellular receptor belonging to the steroid receptor superfamily: the glucocorticoid receptor (GR). Once activated, the GR, can mediate his effects through direct binding on the DNA or via protein/protein interactions with transcription factors. Depending on the type of lymphocytes, the mechanism of apoptosis induced by glucocorticoids fall roughly in two categories: induction of `` death genes '' by the activated GR (I kappa B, c-jun) or repression of survival factors (AP-1, c-Myc). In the case of thymic selection the mechanism is more subtle depending on the mutual repression of Nur77 and GR.


@NextUpdate(note="Testing whether variable dataset is serializable") public class Datasource extends java.lang.Object implements AutoCloseable, java.io.Serializable
Datasource
class is a special class used to point to a dataset. Of course it contains a URI of such dataset. Note that URI, abbreviation of Uniform Resource Identifier, is the string of characters used to identify a resource on Internet.
As usual and for convenience, data source also contains dataset. We can considered data source as a wrapper of dataset with additional information about dataset.
It is possible that there are many data sources referring to the same dataset.| Modifier and Type | Field and Description |
|---|---|
protected boolean |
autoClose
|
protected Dataset |
dataset
The internal dataset.
|
protected xURI |
uri
URI of the internal dataset referred by variable
dataset . |
| Constructor and Description |
|---|
Datasource()
Default constructor.
|
| Modifier and Type | Method and Description |
|---|---|
void |
close()
The main method of this interface, which is responsible for releasing resources occupied by auto-closable object.
|
void |
connect(Dataset dataset)
This method is used to connect this data source with the specified dataset.
|
void |
connect(xURI uri)
This method is used to connect this data source with the URI of specified dataset.
|
protected void |
finalize() |
Dataset |
getDataset()
Getting the internal dataset of this data source.
|
xURI |
getUri()
Getting the URI of this data source.
|
boolean |
isValid()
Checking whether data source is valid.
|
protected Dataset dataset
protected boolean autoClose
public void connect(Dataset dataset)
dataset
is assigned by the specified dataset and
the internal variable uri
is assigned by the URI of specified dataset and
the internal variable autoClose
is assigned by whether the specified dataset is exclusive.
this.dataset = dataset;
this.uri = dataset.getConfig().toUri();
this.autoClose = dataset.isExclusive();
dataset
- specified dataset.public void connect(xURI uri)
dataset
is loaded from the specified URI and
the internal variable uri
is assigned by the specified URI and
the internal variable autoClose
is true
.uri
- URI of specified dataset.public Dataset getDataset()
public xURI getUri()
public boolean isValid()
null
.public void close()
AutoCloseable
finalize()
method of auto-closable class should call AutoCloseable.close()
method so that AutoCloseable.close()
method is called automatically before the Java garbage collector destroys auto-closable object.close
in interface AutoCloseable
protected void finalize() throws java.lang.Throwable
finalize
in class java.lang.Object
java.lang.Throwable


A link from 1992
/tests/functional-test-site/
/pushstate
/pushstate-with-title-and-state
#/hash-link1
#/hash-link2


--- layout: post title: "Blog Post: A month of influence - What I bought because I saw it on Instagram" date: 2019-08-05 18:04:42 -0700 background: '/assets/Images/socialMediaDoodles.jpg' categories: Blog business development ---
Wow, did this blog post change in less than 24 hours. Like full 180 degrees. The good: I know that atleast one person is VERY invested in what my blog has to say! The Bad: I was threatened to be sued by for posting a very positive review of her artwork in this post.
I don't really care for a lawsuit, and I really don't want to offend anyone so here I am editing the raw HTML on github for this post- at work to fix the "offensive" content. I know that she (Hi Biggest Fan!) will be giving my blog another click to make sure I have updated my blog.
I was honestly shocked at both the positive feedback and negative feedback recieved from this post. I have now contacted some of the other influencers I posted about, and they felt this post was fun and informative. Though in the end, I was unable to post an honest postive review without offending atleast one person. But again, not trying to offend anyone here. So the image of the image of her work has been deleted. I have left the (slander?) review I wrote below for you to read to decide for yourself how you would respond.
While I do have your attention, I want to explain a little bit about this blog. The first reason I have this website is to experiment with front end design and web development ideas and practices. I am a computer scientist not a blogger. The other reason for this personal blog is because..... one of my biggest flaws is *drum roll please* TYPOS.
I am not a talented writer. Grammer and typos evade me, even after 17 years of school. To improve myself, I write about interesting things I observe and think, kind of like a journal. I make this journal public so that I am forced to re-read and work on my writting.
No SEO tricks are added to this website to get extra views. No ads generate me money. Just my opinions and thoughts and a space for a computer scientist to explore. If I were to spend time being mean and attempt to destory a business, then I would probably do a Denial of Service attack, or build a bot to post thousands of negative reviews... I am after all a computer scientist.
Thanks for all the support,
-JoCee
I hate being bored. That is probably just my Generation Z attitude talking, but I really hate it. There are many times throughout the day, where there is a short amount of time that isn’t accounted for. You must know, those times where it is too short to start doing anything productive, but too long to sit there and stare at the wall. The 15 minutes between classes, 5 minutes waiting for the train, 6 minutes standing in line for lunch, 10 minutes waiting for my husband to finish his hair, etc.
Naturally, during these intermittent breaks, I pull out my phone and open up Instagram. I’m never on Instagram for long, but the total time spent on the app quickly adds up. Instagram reports that I spend on average 1 hour and 48 minutes on their app each day!
I wouldn’t consider myself an Instagram super user, I hardly ever post on my own feed, I don’t take pretty enough pictures for that. I do find myself consuming content on Instagram like crazy though. Double tapping and swipping through stories is so natural.
Many companies are using Instagram to jump start their business or advertise. One of the major issues with this kind of marketing (and marketing in general) whether or not the money spent on influencer and Instagram marketing is worth it, and produces a purchase or atleast a bit more brand awareness.
To answer these questions for myself, I did an experiment and for a few weeks, I recorded the content that influencers (and normies) post that make me either shop around, or buy.
For each post that triggered my attention and made me consider checking out a product, I recorded the steps that I took, what caught my attention, and if I made a purchase, how much I spent. All because I was “influenced” to do so on Instagram.
I saw this amazing piece of art on @emilyijackson ‘s feed. I instantly fell in love and wanted on of my husband and I with New York city in the background. The artwork was done by @jenlublindesign, so I followed her and spent a good 30 minutes checking out her page.
2 Images removed at the request of the artist.
Steps Taken:
Update 8/6/2019: Jaden and I no longer have any interest in purchasing this work.
I love photos, especially for fun occasions. A few weeks ago, I got married, but before I got married, I saw this post on a popular Wedding Inspiration feed @NewYorkBridesMag. I followed the photographer, and spent quite a while going through her feed. Although I loved her style, she is based in Russia, which will not lead to a sale for this photographer by being featured. It did lead to a sale for a local photographer, who I asked to replicate this kind of shoot!
@Newyorkbridesmag (49.5K followers)
Steps Taken:
Three weeks after my fiancé and I got married, I flew out to New York City to live for the summer, while he stays home in Utah. During one of his visits out to New York, I wanted to get images of us taken to remember our summers of long distance. I went looking for New York photographers. I went to the pages of some NYC influencers I follow, and searched for the photographers who took some of their pictures I liked. I saw this image of @Catherinepdv and followed her tag to the photographer @someShellyPhotography.
@CatherinePDV (16.5K followers)
@someShellyPhotography (1,360 followers)
It was so nice to quickly see where Shelly was located… In NYC! Perfect! I messaged her, and we set up a photoshoot for my husband and I.
Steps Taken:
Here is one of the amazing pictures that she took for us… I am super happy with this purchase, and that we found her.
Of course, I am always tempted to buy outfits I see people wearing. When I saw this dress on @kyliekatich, I immediately went searching to find where she links her outfits.
@kyliekatich (65.5k followers)
Steps Taken:
I have been following @brushworkbabe for a while. I had never visited her shop at all, just admired her Instagram images, until this painting came up in her Instagram Story.
@brushworkbabe (8,267 followers)
Steps Taken:
Mayci mentioned in one of her stories that she loved her neon sign that she custom made at her wedding. I also loved the idea… so much that I bought one for our wedidng.
@maycineeley (10.3k followers)
Steps Taken:
Here is the neon Sign that Jaden and I got for our wedding! I still love it, and although it was pretty expensive, I am very happy that I purchased it.
Instagram is a great way to reach your audience and to convert likes into sales. But from a consumer’s point of view, giveaways and sponsored posts aren’t the best way to get sales.
I will continue keeping track of what I buy on social media, and keep you updated every few months. I would love to know what you have bought because of an Instagram post, so let me know!
-JoCee Holladay


This project focused on using an underlying grid to create 3 versions of a magazine spread featuring an article about a typeface designer as well as creatively integrating type and image into the grid. I used the designer’s initials to frame the title and create grid lines that separate the title area from the body text. I also integrated images in different ways to either make a bold statement on the opposite page or to follow the grid and break up the body text. One of the iconic works that Zuzana made are the decorative patterns she created using individual letters of typefaces. As a nod to her work, I created my own decorative pattern by cropping Zs out of her patterns and assembling the letter into a repeating grid.
Date: Fall 2016
Class: Graphic Design Studio II


initiateTransaction method Null safety
Start a UPI Transaction.
The parameters correspond to respective parameters in the UPI Linking Specification. Their names as appearing in the specification have been mentioned.
app
represents a UPI payment app. One of the static members of
UpiApplication.
receiverUpiAddress
is recipient UPI VPA. An invalid value will result
in InvalidUpiAddressException
. See pa
in UPI Linking Specification.
receiverName
is the name of the recipient. See pn
in specification.
transactionRef
is an ID (typically unique if you need to
identify each payment) for the UPI transaction. On Android its value is
copied back in the response from the UPI payment app. See tr
in
UPI Linking Specification.
amount
must be a string form of payment amount and must be valid
currency (no more than 2 digits after decimal). The package also limits
it to be <=1,00,000. An unacceptable value leads to
InvalidAmountException
. Some UPI payment apps or your payer account
may have their own permanent or daily limits, which this package cannot
control towards ensuring payment. See am
in UPI Linking Specification.
transactionNote
is a short description of the transaction. See tn
in
UPI Linking Specification.
url
: See url
parameter in UPI Linking Specification
Implementation
static Future<UpiTransactionResponse> initiateTransaction({
required UpiApplication app,
required String receiverUpiAddress,
required String receiverName,
required String transactionRef,
required String amount,
String? url,
String? transactionNote,
}) async {
final transactionDetails = TransactionDetails(
upiApplication: app,
payeeAddress: receiverUpiAddress,
payeeName: receiverName,
transactionRef: transactionRef,
amount: amount,
url: url,
transactionNote: transactionNote,
);
return await _transactionHelper.transact(_channel, transactionDetails);
}


Click the Crystals to earn numbers. Collect points to match the KEY. Match the key to win. If your points exceed the KEY's points - you lose.
Key Number
Your Number


Index of all browser tests of fetchline package family
fetchline
fetchline_pkg
isomorphic-fetchline
isomorphic-fetchline_pkg
naivefetchline
naivefetchline_pkg


Bahria MUN
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BUMUN stands for
Bahria University Model United Nations
. BUMUN has succssfully completed 9 years and this will be its X(10th) edition. It alway been outstanding when academic is concerned.
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Got an Event
- Type: {{event.event_type_str}}
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- Teams: {{event_teams|length}} registered - {% for event_team in event_teams %}{{event_team.team.id}} {% endfor %}


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UNITED
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1913
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Introduction to Probability Models
Lecture 6
Qi Wang, Department of Statistics
Aug 31, 2018
Definition
We say that event B is independent of event A if the occurrence of A does not affect the probability of B occurring
- \(P(A|B) = P(A)\)
- \(P(B|A) = P(B)\)
- \(P(A\cap B) = P(A)\times P(B)\)
ARE MUTUALLY EXCLUSIVE EVENTS ALSO INDEPENDENT?
Example 1
Chris and his roommates each have a car. Julia's Mercedes SLK works with probability 0.98,
Alex's Toyota Corolla works with probability 0.91, and Chris' GMC Jimmy works with probability 0.24.
Assume all cars work independently of one another. What is the probability that at least 1 car works?
Example 2
Consider the following sample space \(S = \{a1, b1, c1, d1, a2, c2, b3, d3, a4, b4, c4, d4\}. \)
The probability of each individual outcome is equal. Events are defined as follows:
- E1 contains all elements with a or d
- E2 contains all elements with numeric parts less than 4
- E3 contains all elements with 4 for the numeric part
- List \(E1, E2, E3\) and find \(P(E1), P(E2)\), and \(P(E3)\)
- List \(E1 \cap E3\) and find \(P(E1\cap E3)\).
- What is \(P(E3| E2)\)?
- What is \(P((E2 \cup E1)^c)\)?
- Are \(E1\) and \(E3\) independent? Mathematically justify your conclusion.
- What term describes the relationship between \(E2\) and \(E3\)? Explain your reasoning? Are \(E2\) and \(E3\) independent?
Mutually independence of three sets
Must statisfy all these conditions
- \(P(A\cap B) = P(A) \times P(B) \)
- \(P(A\cap C) = P(A) \times P(C)\)
- \(P(B\cap C) = P(B) \times P(C)\)
- \(P(A\cap B\cap C) = P(A) \times P(B) \times P(C)\)
We call it pairwise independent if only 1, 2 and 3 hold
Example 3
Draw a card out of a standard deck of 52 playing cards. Define the following
events: A = the card is a heart, B = the card is a face card, C = the card is a 7 or Jack.
- Are events A and B independent? Prove your answer mathematically.
- Are these 3 events pairwise independent?
- Are they mutually independent?