Event Location:
Central Piedmont Community College (CPCC)
2800 Campus Ridge Road
Charlotte, North Carolina
Abstract:
Any changes to Non-Memory Optimized tables require a certain amount of logging to the transaction log in order to ensure the integrity of the operation and of course the database. Most of these are fully logged operations and can write a tremendous amount of data to the transaction log. As you probably already know these can lead to various performance and availability issues. However you may be able to minimize the effect of these with what is called a minimally logged operation. This session will outline how these can be used under the right conditions to save time, resources and potentially a lot of headaches. Various demos will hit home on just how much of an impact this can have on some every day operations.
Speaker(s): Andrew Kelly,
Abstract:
Most DBAs need to use multiple native and third party tools to fully document SQL Server instances yet still dont get all the objects. Even using Visual Studio and Database Projects, not all objects are exportable and live at the server level, above the database. Using Powershell, we will script out an organized set of files that can be checked into any Source Control system and or used for moving or recovering a SQL server instance for Disaster Recovery purposes. Objects exported include: SQL Agent Jobs/Alerts/Schedules, NT Service Credentials, SSIS-MSDB, SSIS-Catalog, SSAS Cubes, SSRS Reports, Logins, Server Configs, Linked Servers, DB Mail Operators/Accounts, and Server Triggers
Speaker(s): George Walkey,
Abstract:
Despite the wealth of analytical technologies available today, 65% of fraud at public companies is detected through tips, management review, or simple accidents. Forensic Analytics combine human intuition and leading-edge technologies, and can provide superior detection methods to significantly improve the detection and investigation of illegal or unethical activities. In this session, we explore Forensic Analytics: a set of techniques we can use to uncover irregularities in financial data. We also gain an understanding of goals of Forensic Analytics: to enable us to find out how — and why — these irregularities exist, and to find out their source(s) — especially when fraudulent activity is suspected. We discuss guiding principles that are key to isolating data anomalies, and outline a standard, repeatable process to Forensic Analytics. Throughout the session, we view examples of how we can employ PowerPivot for Excel to drive Forensic Analytics via various tests and reviews.
Speaker(s): William E Pearson III,
Abstract:
Never given time or care, never forming good relationships, becoming bloated, corrupt and rife with indistinguishable copies, and all so horrifyingly pervasive in society. But enough about the Kardashians, what about YOUR DATA? If you want to straighten it out and prevent it from going too far in the first place, this session is for you. We will cover constraint basics (not null, check, primary key/unique, foreign keys), provide standard use cases, and address misconceptions about constraint use and performance. We will also look at triggers and application logic and why these are NOT substitutes for (but can effectively complement) good constraint usage. Attendees will enjoy learning how to keep THEIR data off the tabloid page!
Speaker(s): Rob Volk,
Abstract:
"Its.Slow!" are probably the two most dreaded words for any database professional (right behind "You're fired!") What's slow? Since when? Compared to what? Join this "something-everyone-should-be-doing-but-isn't" session, in which we will discuss baselines and performance monitoring for your SQL Server Analysis Services (SSAS) environment. We'll cover what a baseline is, what information it needs to include, and how it can help you troubleshoot immediate problems and proactively avoid them in the future. Walk away from the session with a plan that you can implemented next week to help avoid being caught off guard by SSAS performance issues and to make troubleshooting a breeze.
Speaker(s): Bill Anton,
Abstract:
Do you want SSIS to go fast? This session is for you! Attend and learn techniques for developing, instrumenting, monitoring, and managing SSIS 2014 Data Flow performance in your data integration enterprise.
Speaker(s): Andy Leonard,
Abstract:
Security is not for the faint of heart and this session is just the tip of the iceberg. Those new to the DBA role and of course the Accidental DBA's can take away a few nuggets to get them started securing their SQL Servers and raising awareness to the importance of securing the data we have been sworn to protect. Let this session jump start your journey to learning why DBA's are called the gatekeepers and increase your value in the office while getting noticed for caring enough to stop intrusions to your SQL Servers.
Speaker(s): Lindsay Clark,
Abstract:
A walk-through of creating a sliding window table partition on an AdventureWorks table.
Speaker(s): Jeff Reinhard,
Abstract:
The Resource Governor is a key SQL Server technology for managing competing workloads. New capabilities designed to provide greater flexibility in resource management have been added in SQL Server2012 and SQL Server 2014. As organizations consolidate their SQL architectures, effective management of compute and disk resources becomes more difficult. This session will detail Resource Governor functions as well as demos to illustrate advanced workload management using the SQL 2014 Resource Governor.
Speaker(s): Denis McDowell,
Abstract:
Crash course on becoming better SQL developer by focusing on common mistakes and how to overcome it. What does one need to know to become better SQL Developer? What tools can make your job easier and how to use them? How can I write modular code to make it reusable? These and many other questions will be answered by reviewing mistakes, showcasing free tools and going over bad code.
Speaker(s): Vladimir Oselsky,
Abstract:
Hadoop is a hot topic right now, and Microsoft is betting that Hadoop and SQL Server will go together like peanut butter and chocolate. This presentation will spend a little bit of time on the theory behind Hadoop, but the rest will be a demo-driven look at how to get a handle on Hadoop before somebody introduces it into your enterprise.
Speaker(s): Kevin Feasel,
Abstract:
Are you just breaking into the query tuning side of managing your SQL Servers? In this session, we will cover the basics you need to start leveraging execution plans as part of your tuning process. We will discuss how SQL Server creates and uses plans, and how to collect them. Once we have the plans, we will go step-by-step through how to read them, and what the most common operators mean. We will look at the different types of operators not just from a standpoint of what they do, but how they can impact query performance. We will also cover how good database design and maintenance allow you to get better execution plans through having the right indexes and up-to-date statistics.
Speaker(s): Scott Fallen,
Abstract:
This session is for database and application developers who know Microsoft's T4 (Text Template Transformation Toolkit) from Visual Studio but would like to make the transition to the powerful BimlScript language for generating SSIS and SSAS projects dynamically.  During this highly-interactive session, we'll leverage your familiarity with template-based code generators like T4, comparing its features to BimlScript to tackle some difficult Business Intelligence tasks in a fraction of the time it would normally take. If you don't know T4, any prior experience with template-based code generators will prepare you well for this session. Moreover, if you've never done dynamic code generation before, you may still find this session fascinating and a quite useful addition to your toolbox.
Speaker(s): Kevin Hazzard,
Abstract:
Dates and Times can be very confusing. Julian Days, Fiscal Years Months, UTC, Atomic Time, Leap Seconds, ISO 8601, and more clutter up what, on the surface, appears to be a simple set of data types. This session will work to demystify dates and times, with a focus on SQL Server. It will cover the pros and cons of each of SQL Server's date/time data types, why you need a Calendar table in almost every database (and maybe a Time table too), various good methods of handling intervals and durations, how to use the IANA tzdata database to help with time zones daylight savings. As a bonus, if we have time, we'll also talk about SQL Server 2016's Temporal tables and what they mean for the current/history table pattern.
Speaker(s): Nate West,
Abstract:
SSIS has many great built-in tasks and components. Sometime, though, you need to go further than what they allow. Come to this session for an introduction to the scripting capabilities of SSIS. Many data movement activities can be handled with SSIS using the built-in tasks and components. Eventually, though, you will run into a scenario that will be better handled by extending SSIS functionality with custom code. In this session, we will cover the basics of using scripts in SSIS control flows and data flows. We’ll talk about the pros and cons of scripts, review the development environment for scripts, cover some interesting and useful .NET classes, and walk through multiple examples of scripts that add useful functionality to SSIS.
Speaker(s): John Welch,
Abstract:
Attend the lunch demo and see how you can use Master Data Services and Maestro to: o Create a golden record for any subject area in a matter of minutes o Leverage your Microsoft licenses, skills and infrastructure to lower license costs and FTE costs, and reduce the complexity of an MDM environment? o Understand how to implement workflow and business process solutions around the management of MDM, without having to write complex custom coding for everything? o Tackle data quality, consistency and control by empowering business and subject matter experts, without needing heavy IT resources and writing complex code or scripting o Improve data quality, data stewardship, workflow, and data sharing with any of your enterprise
Speaker(s): Gene Webb,
Abstract:
Did you know that you don't have to wait until the next PASS Summit or BA Conference to get more training? If your company can't send everyone to the big conferences every year, it definitely doesn't mean you have to go without keeping up your skills or increasing your knowledge. You've found your way to SQLSaturday, and that's a great first step. But there is so much more out there. I'll share with you free resources including blogs, user groups, PASS virtual chapters, Twitter, Linked In, online forums, and other websites. These resources will help you stay connected to the SQL/BI community year-round so you can continue to increase your skills without draining your company's training budget or your wallet.
Speaker(s): Meagan Longoria,
Abstract:
In this session users will be introduced to the concepts and capabilities of Policy Based Management. We will review the basics of what policies are, the process for setting up new policies, evaluating policies against an environment, and scaling policies across an environment.
Speaker(s): Ryan Brickey,
Abstract:
The pervasiveness of Big Data has created significant challenges for companies that have historically utilized relational database management systems to perform data analysis and predictive analytics. This presentation outlines the challenges that stem from Big Data as it relates to deriving value from data, the types of NoSQL data stores available and how NoSQL can serve as a data platform that enhances the data analysis and predictive analytics capabilities of companies.
Speaker(s): Cornell Emile,
Abstract:
Azure SQL Database is now based on the same bits as SQL Server 2014, bringing great enterprise capabilities. We will discuss business continuity features such as geo restore, point-in-time recoveries, and how to recover a deleted database with only a few clicks. No more retrieving tapes from you off-site backup vault! Learn how easy it is to configure a geo-replicated solution which allows for both disaster recovery and readable secondaries. Use the built-in SQL Server Management Studio wizard to migrate your on-premises databases into Azure SQL Database.
Speaker(s): Lori Clark,
Abstract:
TDE, Transparent Database Encryption, is a Microsoft built-in solution to protect sensitive information by encrypting entire SQL Server database. TDE encrypts and decrypts the data on the fly with minimum overhead and no code change at all on the development or application side.
Speaker(s): Thomas Chan,
Abstract:
People’s sentiments and opinions are written in social networks. There are tweets, Facebook posts, book reviews, forum discussions, and more. These attitudes and feelings are communicated using text, with format depending on the social network. Twitter messages are limited to 140 characters and use hash-tags,; Facebook messages can be longer. This session reviews the different Natural Language Processing, text mining, and data mining techniques you can use for sentiment and tone analysis. Organizations can use the extracted knowledge for brand reputation, market predictions, and automatic learning. We’ll look at, Hadoop, data mining, Microsoft Big Data Hadoop distribution HDInsight and Azure Machine Learning
Speaker(s): Paco Gonzalez,
Abstract:
These talks discuss using the native Windows performance tools System Monitor and WMI technology to create logs that track the overall performance of SSIS, SSAS, and SQL Server. This will be a deep dive into Windows Performance Monitoring and WMI tools that are native to all Windows Operating Systems and how they can be used to track and monitor your SQL applications. I will discuss memory utilization, counters, WMI classes, and threading that is collected during SQL operations within the Windows OS. I will also show you how to collect this data manually or via automated schedule and export it for later evaluation or logging
Speaker(s): Melvin Black,
Abstract:
This session will step through the fundamentals that go into assessing existing data quality issues as well as an introduction on how to use Microsoft's Data Quality Services to address those issues. The presentation will begin by discussing techniques to uncover pain points that may currently exists within your data. We will step through techniques for stakeholder discussions and things to look for when profiling your data. In the second half of the session, we will transition into a demo that introduces the capabilities of Data Quality Services. I will discuss the major functions of Data Quality Services such as, Knowledge Bases, domains, and matching. My goal at the end of the session is for each participant to have a good baseline understanding of what to look for when assessing quality within their data, as well as, how to begin solving the issues they find.
Speaker(s): Justin Ward,
Abstract:
When was the last time you read up on SQL Agent features? Is there more you could be doing with it? We'll answer this question and more as we take a deep dive into the SQL Server Agent. In this session we will cover some of the basic best practices of SQL Agent configuration as well as more advanced topics like managing large numbers of jobs, properly managing job history, and keeping jobs in sync across multiple instances.
Speaker(s): Mark Wilkinson,
Abstract:
While we are not the NSA, certain vital data needs to be collected – for example audit data, trace data, session information, performance data etc. – all to a central SQL Server repository, for analysis. In this session let us see how freely available PowerShell code can be used to collect data from multiple SQL Servers instances/databases. At the end of this session, you will have the knowledge and ability to collect pretty much any data to a central repository with just a couple of lines of code all in a manner that works specifically for you!
Speaker(s): Jana Sattainathan,
Abstract:
Database corruption could happen to you. This could potentially be one of the worst nightmares you could experience in the database world. In this session I will be talking about what database corruption is. I will also give a lesson on how dbcc works and the limitation of it. I will give examples of database corruption and how to resolve them. I will also give examples of how to verify integrity of backups. Backups are essentially the last resort for resolving database corruption.
Speaker(s): Stephen Muliokela,
Abstract:
Microsoft has been busy working on the next version of SQL Server - SQL Server 2016. We will go over some of the new features at a high level and dig deeper on Row Level Security and StretchDB. Row Level Security allows you to add another layer of security to your environment. StretchDB will allow you to transparently place part or all of a table into a SQL Azure DB freeing up your valuable SAN space for data that is COLD.
Speaker(s): Rick Heiges,
Abstract:
Do you like Power BI – but your company is not ready to move to the CLOUD? In this session we will be covering the On-Prem Power BI alternative that Microsoft has endorsed: *Pyramid Analytics BI Office*. We will discuss architecture considerations; use cases; integration points with Power BI, SharePoint on-prem, and SSRS; Tabular Modeling on-the-fly; and even consumption of data from Azure ML! Do you want to allow your business users to build Tabular models on the fly, or connect to your multi-dimensional cubes - and visualize them immediately? Come and hear about how you can do all of this and more with Pyramid Analytics’ BI Office suite.
Speaker(s): Mark Scott,
Abstract:
In this session we will review Power BI V2 architecture and integration points with corporate data sources, SaaS services, Azure, and third party apps. We will examine and demonstrate key capabilities in the Power BI web-based service, Power BI Desktop, Excel, and mobile apps. Implementation options for Power BI involving cloud, on-premises, and hybrid approaches will be explored. Finally, the concept of "Bimodal BI" will be introduced with use cases for how Power BI might be utilized for both self-service BI and certain corporate BI initiatives.
Speaker(s): Melissa Coates,
Abstract:
In this presentation Brian Davis and Scott Fallen will demonstrate how SQL Sentry tools help UpSearch and their managed services customers monitor and tune their SQL Servers. Brian is a SQL Server Consultant for UpSearch, and Scott is a Sales Engineer for SQL Sentry. During the presentation, we will look at baselining, performance bottleneck identification, query tuning, alerting, and automated response with SQL Sentry in the context of how the team at UpSearch leverages these features. We will conclude with a demo of some of the powerful features of SQL Sentry Plan Explorer FREE.
Speaker(s): Scott Fallen,
Abstract:
So you like the idea of using one of the commercially available performance monitoring tools but can’t convince your boss to spend the money? Then join me as we explore some absolutely free tools born right out of Microsoft’s customer support teams: DiagManager and SQLNexus. We will see just how easy it is to use them to collect and analyze performance data from your SQL Servers. These tools can get you started quickly without having to deal with the red tape.
Speaker(s): Patrick Keisler,
Abstract:
Do you like Power BI – but your company is not ready to move to the CLOUD? In this session we will be covering the On-Prem Power BI alternative that Microsoft has endorsed: *Pyramid Analytics BI Office*. We will discuss architecture considerations; use cases; integration points with Power BI, SharePoint on-prem, and SSRS; Tabular Modeling on-the-fly; and even consumption of data from Azure ML! Do you want to allow your business users to build Tabular models on the fly, or connect to your multi-dimensional cubes - and visualize them immediately? Come and hear about how you can do all of this and more with Pyramid Analytics’ BI Office suite.
Speaker(s): Mark Scott,
Abstract:
In this session you will learn what is the status of the local IT market. Included will be: Salary Information, Market Trends, City Facts, Who is HIring, and a lot more.
Speaker(s): Leveat Ruse,
Abstract:
R is a free software environment for statistical computing and graphics. By far the most popular programming language for data science projects, R is used to solve problems in fields such as biology, physics, finance and marketing. With the recent acquisition of Revolution R and the increasing capabilities of AzureML, Microsoft's attention to deliver an enterprise-ready version of the R platform has increased exponentially. Please join me to learn the foundations of R, how to begin plotting data using ggplot2 and how R is integrated in AzureML.
Speaker(s): Jake Switzer,
Abstract:
Your organization relies on SQL Server to support its applications, customers and employees. But to maintain productivity, control costs and protect data, your SQL Server environment must be up and running, effectively supported and secured. Come see how DELL SQL Server Solutions increase productivity, reduce costs and protect data in your SQL Server environment.
Speaker(s): Vera Takakura,
Abstract:
SQL Server 2014\2016 is on the edge of one of the larger revolutions in Database technologies in the recent past. The reason is that we have a new technology out there, and your may have heard of it, it’s called the cloud. Microsoft's version of cloud technologies is called Azure. In this session, we will learn some details of using SQL Server 2014 with Azure, as well as Azure Database as a Service. In addition, we’ll explore some of the new, improved features available in SQL Server 2016. We’ll explore how SQL Server integrates with Azure, and how you can put one toe in the water and get started integrating the cloud into your organization.
Speaker(s): Rich Cargile,
Abstract:
In this session we will explore 1. Installation of R and R Studio 2. R basics 3. Power of R 3. Getting data from databases and other sources. 4. Managing Data frame using Package dplyr 5. Visualization of Data using Graphic Package ggplots2 6. In-Database R in Sql Server 2016
Speaker(s): Kiran Math,
Abstract:
I develop for and manage a small, but active, web application that lives completely inside of Azure from code to data. I've been involved with it since inception, and I've learned a few things about developing for, and managing data in this environment the hard way. I'd like to share some of the lessons I've learned in hopes that it can save others some time.
Speaker(s): Jason Hall,
Abstract:
Whether predicting customers or All Stars, the process and the tools remain the same. Microsoft’s Analysis Services Data Mining tools enable you to quickly profile your data, identify hidden relationships and predict future outcomes based on those relationships. Join me to see what data mining is, what data mining is not and how Microsoft's data mining tools can help you analyze your business. During this session, I will walk us through a start-to-finish data mining prediction project. It's easier than you might have thought.
Speaker(s): Mark Hudson,
Abstract:
So you have a good backup strategy in place, but now you have to think about a disaster recovery. Where do you start and what are your options? SQL Server offers several options, but then how do you choose the right one to meet your business requirements? In this session, we will go over some of the common DR options including log shipping, replication, mirroring, clustering, and AlwaysOn. Then we will talk about how to choose the best one to meet your business needs.
Speaker(s): Tracy Boggiano,
Abstract:
How your business applications interact directly with the corporate database can dramatically affect how successful you are. One of the biggest issues is performance with large databases. By designing the application to use asynchronous messaging for non-critical updates, you can focus performance concerns where the timeliness is critical. SQL Server Service Broker handles the asynchronous requests quickly and efficiently and minimizes conflicts with your critical updates. This session walks you through the steps to get Service Broker running and providing a consistent delivery of your business data.
Speaker(s): Allen White,
Abstract:
For most of us, our career in technology was and is the result of our combined education, experience, opportunities, and luck. In this presentation we will explore approaches to creating the career we want instead of the one we stumble into.
Speaker(s): Justin Randall,
Abstract:
What are statistics? Why do we need statistics? How we can use statistics for our advantage? I'll show you the case, along with walking through statistics, execution plans, plan cache and query hints. Also, will show how to use statistics in your day-to-day life and benefit from it.
Speaker(s): Slava Murygin,
Abstract:
Overview of PowerShell and how to perform SQL scripts using PowerShell. In this session you will learn the basics on building scripts using PowerShell and then learn the basics of using PowerShell for SQL server administration.
Speaker(s): Michael Wharton,
Abstract:
This session will serve as a guide for database administrators who are considering virtualizing their SQL server instances (or are about to have that decision thrust upon them) and are unsure of the best approach. It will cover the basics of how to configure a virtualized environment for SQL server, make you aware of some of the common performance pitfalls and help to dispel some of the myths around managing database availability in a virtualized environment. At the end of the session you should have a good idea as to whether virtualization is the right choice for your database environment and a broad strategy for how to go about implementing it.
Speaker(s): Brian Carrig,
Abstract:
The cloud is here! Are you ready? Microsoft, Amazon and others are all vying for your cloud attention. In this session, we will review the different types of cloud platforms available and what they mean to you. We will pay close attention to Microsoft’s Azure platform that offers two hosting solutions. What are these hosting options and what are the differences between them? Most importantly, how do I get started with all of this cloud business? Let's put SQL Server into the cloud!
Speaker(s): Thomas Norman,
Abstract:
SQL Clinic is an open session/discussion lead by couple of Microsoft engineers. If you have any SQL related problem or question, you can go there and ask and get a consult for free. If you do not have problems or questions you can just sit in and learn what kind of problems other people have in their environments.
Speaker(s): Harsh Deep Singh,
Abstract:
In this session, we are going to connect to a fully deployed Hadoop Cluster using PolyBase and Power BI. We will go over the Pros vs Cons of using this solution and what use cases this architecture fits.
Speaker(s): Montrial Harrell,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: http://www.linkedin.com/pub/allen-white-sql-server-mvp/5/784/b08/
Contact: http://dataperfpro.com/blog/
Allen White is a Data Platform consultant. He has been both a developer and an administrator, so he understands both perspectives towards database technology. He loves sharing his experiences and helping people learn how to use SQL Server. Allen has spent over 40 years in IT, using SQL Server since 1992, and has been awarded Microsoft’s MVP Award for the last 13 years. Allen was a PASS Director from 2016 - 2018.
LinkedIn: https://www.linkedin.com/pub/scott-fallen/28/731/a9b
Contact: http://blogs.sqlsentry.com/author/ScottFallen/
Scott Fallen (@ScottFallen) is a Solutions Engineering Manager on SentryOne’s Sales team and is responsible for technical sales support. He interacts with customers and prospective customers at conferences and trade shows. He also provides demos and online webinars existing and future users of SentryOne software.
LinkedIn: https://www.linkedin.com/profile/public-profile-settings?trk=prof-edit-edit-public_profile
Contact: http://blogs.sqlsentry.com/justinrandall
Justin Randall is a Senior Consultant at SQL Sentry, LLC. He has over 30 years of data management experience in a variety of roles from Enterprise Data Modeler to DBA, supporting development in DB2, Sybase, and SQL Server. Justin frequently speaks at SQL Server User Group meetings and SQLSaturdays, and has presented at several SQLintersection conferences. His current professional interests are SQL Server performance monitoring and tuning, and career development.
Kiran Math is a Software Engineer on the Construction Predictive Analytical team at Fluor, where he specializes in T-SQL, R, Python, C# etc. A resident of Greenville, South Carolina, he can be found cycling and hiking the trails around Greenville. He is active in his local SQL PASS chapter in Greenville, speaking and volunteering at SQLSaturdays.
LinkedIn: https://www.linkedin.com/profile/view?id=131567172
Contact: http://blogs.msdn.com/b/sqljourney/
HarshDeep Singh is a SQL Server Premier Field Engineer for Microsoft in the North America region. He has worked extensively on SQL Server with various Microsoft customers. He contributes to the community by speaking at technical events, as well as through his blog (http://blogs.msdn.com/b/sqljourney/).
LinkedIn: https://www.linkedin.com/in/rob-volk-134ba81
Contact: http://weblogs.sqlteam.com/robv/
Rob Volk is a SQL Server DBA in the Metro Atlanta area since 2001. He also moderates and answers the forums on SQLTeam.com. While an old-time cranky DBA, he no longer considers quot;business intelligencequot; an oxymoron or quot;the cloudquot; as merely atmospheric moisture, and is delightedly dipping his toes into both of these new oceans, and loves to do things in new and and unusual ways.
I have been working with databases for over 10 years, as an application developer, data modeler, and data warehouse architect. How best to represent the real world in a computer always been a deep interest of mine. I have lived most of my life in the Pittsburgh area, moving to Charlotte in 2013.
Rich Cargile is a Senior Software Engineer at RDA Corporation. For over 10 years, he has designed, developed, and maintained a data-centric solutions within multiple industries such as Finance, Digital Marketing, State and Federal Government using Microsoft#39;s BI stack. His main interests include relational database performance tuning, ETL, Business Intelligence, and Azure.
Contact: http://insyncva.com
SQL Server DBA, Developer, IT Manager, Business Owner from the Richmond, VA USA Area Interested in pushing the limits of both hardware software and my own brain
LinkedIn: https://www.linkedin.com/in/michaelwhartoncomputer
Contact: http://MyProjectExpert.com
Michael Wharton is a Project MVP. He has been an independent consultant for the past 20 years, with over 30 Project/SharePoint Server deployments. He has an MBA from Wake Forest and has over 44 Microsoft Certifications. Michael's primary job is helping companies setup a PMO, Project Management Office using Project Server using SQL server on a SharePoint Farm. He has worked extensively with the back end support setting up SQL server, SharePoint Server and Project Server using PowerShell.
LinkedIn: http://www.linkedin.com/in/melvinblack
My background includes a wide and depth understanding in the End to End development of Reporting Solutions and Data Modeling using the Microsoft Business Intelligence stack. Certified as Microsoft MCSE, MCSD (VB and SQL), MCTS (Performance Point 2007, SQL Business Intelligence 2005 and 2008, SCOM 2007). I have been a Microsoft Certified Profession since 1997,a former Microsoft Engineer, and currently an active Sr. BI Consultant. B.S. in Information Systems Mgmt and M.S. Project Management
LinkedIn: https://www.linkedin.com/profile/view?id=298075034amp;trk=nav_responsive_tab_profile
Jake Switzer is a SQL/BI consultant for Microsoft. He works to deliver data analytics solutions to customers using a variety of Microsoft and Open Source software. He is interested in topics such as data science, business intelligence, and sports analytics.
LinkedIn: https://www.linkedin.com/in/ryanbrickey?
Contact: http://mindofadba.blogspot.com/
Ryan is currently a Database Administrator with Wells Fargo where he is responsible for a production SQL Server environment. Before coming to Wells Fargo, he started his career working as a data analyst doing data mining and developing ETL procedures. From there he turned to performance monitoring and tuning as a Software Support Engineer with SQL Sentry. He also holds the certification of MCITP - SQL Server 2008 Database Administration.
LinkedIn: https://www.linkedin.com/in/patrickkeisler
Contact: http://www.patrickkeisler.com
I#39;m a husband, a father, an Atlanta Braves fan, and oh yeah...I know a thing or two about Microsoft SQL Server, because I work for Microsoft supporting it as a Premier Field Engineer. I have over 15 years of DBA experience and have gained considerable knowledge in SQL Server by supporting lots of different type of applications ranging from high-volume trading applications to large data warehouses. I hold several certifications: MCSE: Data Platform, MCITP SQL 2008 Admin and Dev, and Security+.
LinkedIn: http://www.linkedin.com/in/AndyLeonard
Contact: https://andyleonard.blog
Andy Leonard is founder and Chief Data Engineer at Enterprise Data Analytics, Microsoft Data Platform MVP, creator of the DILM (Data Integration Lifecycle Management) Suite, an SSIS trainer, consultant, developer, Business Intelligence Markup Language (Biml) developer and BimlHero, SQL Server database and data warehouse developer, community mentor, engineer, and farmer. He is a co-author of "The Biml Book and SQL Server Integration Services Design Patterns" and author of "Managing Geeks - A Journey of Leading by Doing", "Data Integration Lifecycle Management with SSIS", "Building Custom Tasks for SSIS", and the "Stairway to Integration Services". Andy blogs at andyleonard.blog where you can learn more on the About Andy page.
LinkedIn: http://www.linkedin.com/in/melissacoatesprofile
Contact: https://www.CoatesDataStrategies/blog
Melissa Coates is a data architect with a background in data warehousing and business intelligence. Her current professional focus is enterprise-level Power BI governance, deployment, security, and administration. As the owner of Coates Data Strategies, Melissa produces training and consults to help companies strengthen and sustain their data-driven initiatives. Melissa is big supporter of the technical community, and has been a Microsoft Data Platform MVP since 2013. You can visit Melissa's website at CoatesDataStrategies.com, which includes community resources like diagrams, blogs, and videos.
Contact: http://sqlblog.com/blogs/andrew_kelly/default.aspx
Andrew J. Kelly is a Senior Technical Subject Matter Expert with B3 Group Inc. and lives in Clarkdale, AZ. He has over 20 years experience with relational databases and application development, but his main focus now is SQL Server. In addition to general SQL Server training and mentoring, he specializes in performance, scalability, and maintainability of large-scale SQL Servers. He is a regular speaker at conferences and user groups and was a SQL Server / Data Platform MVP for 18 years.
Contact: http://www.m82labs.com
I am a father of 4, and live in Raleigh North Carolina. I love fixing problems, and learning new technologies that can help me fix those problems faster and better than I did the time before. In my spare time I like to read, speak, and learn new things. I currently work as a Database Administrator at ChannelAdvisor where I solve fairly interesting problems on fairly large databases. You can often find me on Twitter where I talk about SQL, beer, and anything else I find interesting.
LinkedIn: https://www.linkedin.com/pub/janakiraman-jana-sattainathan/a/a07/b95
Contact: http://www.sqljana.wordpress.com
Jana works as a Senior Oracle and SQL Server DBA at SCOR, a leading Reinsurance company in the world. He has spent most of his professional life around databases. At work, he has automated most aspects of his job using PowerShell. Most recently, he created PowerPump, a “PowerShell Database Copy Server” for his company to copy 50 billion rows (> 20 TB,) from 4000+ of Oracle/SQL Server tables on a recurring basis to SQL Server targets for migration/testing. He has also fully automated the database deployment which supports all components of SQL Server and Oracle using PowerShell (with about 150 functions) that is tracked extensively.
LinkedIn: http://www.linkedin.com/in/jasonryonhall
Contact: http://blogs.sqlsentry.com/jasonhall
Jason Hall (@SQLSaurus) leads SentryOne's Product Management team, which is responsible for managing product design, development and delivery. Jason has worked in varied technology roles for over 20 years and holds industry certifications including MCSE (legacy), MCSD, MCTS, MCPD, and PMC-III.
LinkedIn: http://www.linkedin.com/in/meaganlongoria/
Contact: http://datasavvy.me
Meagan Longoria is a business intelligence consultant with Denny Cherry Associates, and lives in Denver, Colorado. She is a Microsoft Data Platform MVP. Meagan spends a lot of time thinking about how to use data integration, DAX, and data visualization techniques to make data useful for people. She enjoys sharing her knowledge and experiences at conferences and user group meetings, as well as through her blog (DataSavvy.me).
LinkedIn: https://www.linkedin.com/in/jeffreinhard
I have 25 years of database development experience, mostly with SQL Server, with companies such as Ernst amp; Young, Internet Security Systems/IBM, AirWatch, WebMD, CheckFree and others. My recent focus has been on AlwaysOn availability groups and database DevOps.
LinkedIn: https://www.linkedin.com/profile/preview?vpa=pubamp;locale=en_US
Denis McDowell is a Microsoft Data Professional with over 20 years of experience with SQL Server, scripting, virtualization, IT operations, and Cloud implementations across multiple industries. He currently works as the Solutions Engineering Manager for SentryOne and owns a consulting practice in the Charlotte, NC area. Denis has been a regular presenter at local, regional, and national conferences and events, including PASS Summit, Microsoft Hosting Summit, and numerous SQLSaturday and SQL User Groups around the U.S. In his free time, Denis enjoys traveling with his family, playing and recording in his home music studio, and catering to the needs of his three dogs.
LinkedIn: https://www.linkedin.com/pub/lindsay-clark/58/5b/29
Lindsay started out in network administration with a BA in Computer Science from South University prior to finding her true love in database administration. Whether it#39;s mentoring in the office or presenting sessions at SQLSaturday, Lindsay loves to find new ways to collaborate and share information. In addition to her role as DBA at American Credit Acceptance, she actively recruits speakers for her user group and chairs her local SQLSaturday event.
LinkedIn: https://www.linkedin.com/in/justinwardcsg
My name is Justin Ward and I am a Data Solutions consultant with Cardinal Solutions Group. Since joining Cardinal, I#39;ve had the opportunity to gain experience in multiple industries working with Reporting, Integration, and Data Quality tools across both Microsoft and IBM platforms. I#39;m very passionate about constantly learning and sharing knowledge with peers of my profession. This has driven me two present and partake in multiple SQL events in the Charlotte area over the past couple of years.
LinkedIn: https://www.linkedin.com/pub/stephen-muliokela/32/a45/830
I have been a DBA for many years now and currently hold multiple SQL Server certificates. In addition, I am also a Six Sigma Blackbelt.
LinkedIn: https://www.linkedin.com/e/fpf/252170891
Contact: https://mvp.support.microsoft.com/profile=02C5CD07-7511-4151-A678-3A4A3451F85E
Bill Pearson created Island Technologies Inc. in 1997, and has developed a large and diverse customer base since. Bill#39;s background as a CPA, Internal Auditor, Management Accountant, and SQL Server MVP (BI) enables him to provide value to clients as a liaison between Accounting / Finance and Information Services. Bill has implemented enterprise business intelligence systems over the years for many Fortune 500 companies and focuses his practice upon the integrated Microsoft Business Intelligence
LinkedIn: https://www.linkedin.com/in/tracyboggiano
Contact: http://databasesuperhero.com
Tracy Boggiano is a Senior Database Administrator for DocuSIgn. She has spent over 20 years in IT, using SQL Server since 1999, and is currently certified as an MCSE Data Platform. Tracy has worked on SQL Server since 6.5. She has spoken at local user groups and numerous SQLSaturdays. She is currently a co-leader of a TriPASS Local Group in Raleigh, NC. Tracy also tinkered with databases in middle school to keep her sports card collection organized. She blogs at databasesuperhero.com. Her passion outside of SQL Server is volunteering with foster children as their advocate in court through volunteerforgal.org and being a mental health advocate as part of the PAIMI NC Advisory Council.
LinkedIn: https://www.linkedin.com/in/v2tak
Account Executive for Enterprise Database Solutions for Dell Software formally Quest Software
Mark Hudson is an MCITP with many years of experience in business intelligence and data analysis. He has developed data solutions using numerous platform tools including multiple SQL Server versions. He is a data architect and developer with CapTech (www.captechconsulting.com) and served as a leader of the Richmond SQL Server User Group (www.richmondsql.org).
LinkedIn: http://www.linkedin.com/in/kevinhazzard/
Contact: http://www.linchpinpeople.com/blog/
Kevin Hazzard is a Partner at Linchpin People LLC, leaders in the data integration and database wellness space. He was a long-time Microsoft MVP and the author of a book entitled Metaprogramming in .NET. Kevin also serves as an elected member of his local School Board and dedicates most of his non-professional time promoting public education.
LinkedIn: https://www.linkedin.com/in/leveatruse
As an Executive Technical Recruiter with Ctrl+f, I currently develop effective recruitment strategies to attract top talent at all levels of an organization. I am an IBM certified trainer and began my career performing general human resources duties. I quickly worked my way up through the ranks of technical recruiting from Lead Recruiter to Senior Recruiter to Business Development.
LinkedIn: https://www.linkedin.com/pub/chiu-yuen-chan/b/a67/b07
I work with SQL Server since 2001 with version 7.
LinkedIn: https://www.linkedin.com/in/usafmjscott?
Contact: http://www.pyramidanalytics.com/Pages/blog/Authors/mark-scott.aspx
Mark has over 20 years of consulting, managing, delivering, and selling in both private and public companies all over the US. Prior to joining Pyramid, he held consulting and sales leadership positions at Microsoft delivering and selling BI and Data Warehousing solutions to large enterprise accounts. In his spare time - Mark enjoys traveling and spending time with his wife, and two sons age 4 and 6!
For nearly two decades, Cornell A. Emile has designed, developed, and maintained data-centric solutions within multiple industries such as Finance, Digital Marketing, Non-Profit, Retail, Manufacturing State and Federal Government using Microsoft#39;s business and data products. His main interests include architecting data solutions, Business Intelligence and NoSQL databases.
LinkedIn: https://www.linkedin.com/in/pacosql/
Paco Gonzalez is the CEO of SolidQ North America, and a Microsoft Data Platform MVP. Focused on Business Analytics and Artificial Intelligence, he specializes in helping organizations become data driven from a strategic and technical perspective. Paco is a speaker at small and large conferences such as PASS Summit, Ignite, and Business Applications Summit, and he has published several books and whitepapers. He is based in Atlanta, GA.
LinkedIn: http://www.linkedin.com/in/genewebb
Contact: http://None
Gene Webb is a Regional Sales Executive with The Profisee Group based in Alpharetta Georgia. Profisee is the successor to Stratature the company that built Master Data Services (MDS) and sold the product to Microsoft in 2007. Profisee focuses around Master Data Management (MDM) and as a Gold ISV provides solution sets built on MDS and the Microsoft Stack. Gene spent 7 years working at Microsoft as a SQL Server and Developer Tools solution specialist and an ISV Developer Evangelist.
LinkedIn: http://www.linkedin.com/pub/bill-anton/12/526/4bb
Contact: http://byobi.com/blog/
Bill Anton is an expert in Analysis Services and an experienced data warehouse practitioner. In 2013, he founded Opifex Solutions, a consulting firm with deep expertise in enterprise-scale architecture, design, and performance optimization of Analysis Services and Power BI solutions. He loves eating and spends most of his free time convincing his beloved wife to adopt more golden retrievers.
LinkedIn: https://www.linkedin.com/pub/slava-murygin/9/b95/858
Contact: http://slavasql.blogspot.com/
Started working with SQL Server 7.0 as DBA and Developer. Since then went through all SQL Server versions, migrations and multiple companies of different sizes and industries. Currently working as a contractor with all aspects of SQL Server, including, but not limited to: troubleshooting performance, designing/developing: databases, systems, processes, data warehouses, cubes, reports, ETLs; Refactoring old code; Migrating data from other systems to SQL Server; Securing the data on enterprise level.
Brian Carrig is a Microsoft Certified Master of SQL Server and is currently a Senior Program Manager on the SQL Server Tiger Team at Microsoft focusing primarily on persistent memory technology and replication. In a previous life, Brian spent some time as an academic and holds a PhD in Computer Science. He is a native of Dublin, Ireland but now lives with his wife and two daughters in Redmond, Washington. If he is not talking about, thinking about or working with technology you will usually find him watching Chelsea FC.
LinkedIn: https://www.linkedin.com/pub/scott-fallen/28/731/a9b
Contact: http://blogs.sqlsentry.com/author/ScottFallen/
Scott Fallen (@ScottFallen) is a Solutions Engineering Manager on SentryOne’s Sales team and is responsible for technical sales support. He interacts with customers and prospective customers at conferences and trade shows. He also provides demos and online webinars existing and future users of SentryOne software.
As a Data Platform Specialist for State and Local Government, I work with customers to effectively license their SQL Server environments. I showcase various technical features through demos and on-site discussions, as well as assist customers with POCs. Recently, I recorded a Channel 9 quot;What#39;s New for Azure SQL Databasequot; video.
LinkedIn: https://www.linkedin.com/in/usafmjscott?
Contact: http://www.pyramidanalytics.com/Pages/blog/Authors/mark-scott.aspx
Mark has over 20 years of consulting, managing, delivering, and selling in both private and public companies all over the US. Prior to joining Pyramid, he held consulting and sales leadership positions at Microsoft delivering and selling BI and Data Warehousing solutions to large enterprise accounts. In his spare time - Mark enjoys traveling and spending time with his wife, and two sons age 4 and 6!
LinkedIn: http://www.linkedin.com/in/armordba
Contact: https://armordba.com/
Tom Norman is a Database Architect at KPA with a strong fervor to protect data. He works daily to review and improve data protection methodologies while reviewing governing laws affecting finance, healthcare, and personal data. His areas of expertise include encryption, auditing, data identification, and database object deployment. He is the current leader of the PASS Virtualization Group and Vice President of the TRIPASS user group. You can read his blog at https://armordba.com/ and reach him on twitter at @armordba. Tom speaks at a number of SQLSaturday events and SQL Server user groups.
LinkedIn: http://www.linkedin.com/pub/rick-heiges/1/b93/777/
Contact: http://sqlblog.com/blogs/rick_heiges/default.aspx
Rick is a Former Data Platfrom MVP and Sr. Consultant for Microsoft where he focuses on working with customers on their data estate. His career includes work as a DBA, University full-time faculty member, Systems Analyst, Project Leader, and Developer. He has found his passion in working with data and the community. Rick served nine years on the PASS Board of Directors and spearheaded the popular 24 Hours of PASS event. He also started his local User Group in 2002.
LinkedIn: https://www.linkedin.com/in/voselsky
Vladimir Oselsky (Vlady) is an IT Professional with over 15 years of experience in various IT Jobs. Born and raised in Siberia, moved to United States in late 90s. Passion for computer and programming started with DOS games and learning Borland Paschal in 8th grade as a hobby. IT career consisted of everything from hardware and software support to server administration. Current focus on SQL Server Database Development and .NET programming
LinkedIn: https://www.linkedin.com/pub/kevin-feasel/7/716/504
Contact: http://www.catallaxyservices.com
Kevin Feasel is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL (https://curatedsql.com), president of the Triangle Area SQL Server Users Group (https://www.meetup.com/tripass), and author of PolyBase Revealed (https://www.apress.com/us/book/9781484254608). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
LinkedIn: https://www.linkedin.com/in/montrialharrell
Contact: http://www.broadstrokeconsulting.com
Montrial has been involved with Technology since his first programming class in Junior High over 23 years ago. Since then he has been discovering how to use technology to solve problems in support of infrastructure teams, software development, Health Care and Government agencies. He has worked as a Systems Admin, LAN Admin, QA Engineer, instructor and finally decided to focus on Data Management and Governance because it offered so many ways to help businesses.
LinkedIn: http://www.linkedin.com/in/johncwelch/
Contact: http://agilebi.com/jwelch
John Welch joined SentryOne in spring 2018 as VP of Engineering with the acquisition by SentryOne of the software division of Pragmatic Works. John leads the development of a suite of products that make developing, managing, and documenting data solutions easier. John has been successfully delivering IT solutions to business problems since 1994, and has been focused on business intelligence and data warehousing technologies since 2001. He is a Microsoft Most Valued Professional (MVP), and a frequent presenter on SQL Server and data topics. He also contributes to several open source projects and community initiatives targeted toward making data professionals work more productive.
The following is a list of sponsors that helped fund the event.


Sh8ps Installer page/h1>
If you are on the latest version of windows you can install using the link below.
Install app bundle


def _entropy(self, b):
eB = exp(b)
return log(eB-1)+(1+eB*(b-1.0))/(1.0-eB)
truncexpon = truncexpon_gen(a=0.0, name="truncexpon")
class truncnorm_gen(rv_continuous):
A truncated normal continuous random variable.
def _entropy(self, c):
return 0.5-log(2)
triang = triang_gen(a=0.0, b=1.0, name="triang")
class truncexpon_gen(rv_continuous):
A truncated exponential continuous random variable.


How difficult or easy did you find it to follow the instructions on scale from 1(very difficult) to 5(very easy)?
very difficult
1
2
3
4
5
very easy
Next


The
<go-progress-bar>
component should be used for displaying unspecified wait time or
progress of an activity.
mode
is the input data
which decides what type of progress bar either determinate or
indeterminate. By default, mode is set to determinate progress
bar.
value
indicator is a
mandatory param for determinate progress bar.
rightLabel
is a right side
optional label.
leftLabel
is a left side
optional label.
Determinate progress bar display's progress of an activity. This should be used where the percentage of the activity completion is known.
Indeterminate progress bar is used when the user is asked to wait while something finishes. This should be used where the wait time of an activity is unknown.


p
utilityClasses
package utilityClasses
Type Members
- class ExactDate extends Model with Comparable[ExactDate]
- class ExactDateHMH extends Model with Comparable[ExactDateHMH]
- class HolidayMessage extends Model
- class HolidayMessageHistory extends Model
- class HolidayPlanningsMessage extends AnyRef
- class HolidaysBelgium extends AnyRef
- class PlanningUnitState extends Model
- class Settings extends Model


About the author - Technologies - Contacts
Meeting room reservations Alpha © {% now "Y" %}, everything rights reserved.


As suggested by O-tento,
a humble reference to the sun in Japanese,
it is Tento’s wish that these chocolates will bring
a bit of sunshine to your everyday life.
Tento was dreamt into being by
a traditional Japanese confectionery in Nikko, Nisshodo,
partly in response to modern tastes,
which have changed with the times.
Through our chocolates, we hope to deliver a different
and pleasurable way of experiencing the new era.
As such, Tento marks the start of a new beginning
for Nisshodo, with an offering that both satisfies
modern tastes but also embodies the time-honored
traditions of Japan.
Please take all the time you need to savor our chocolates.
We think you’ll be able to taste the sunshine in every one.
Our chocolates were inspired by the sun. You’ll notice they also give off a glint when viewed from different angles. We use chocolate manufactured by Valrhona in France.
 This is the most playful and flavorsome chocolate of them all.
六花
YUZU
We created an exquisite combination of sweetness and tartness with Yuzu citrus from Kochi prefecture and white chocolate, in the form of a snowflake. Enjoy a fruitiness that’s sure to turn your image of chocolate on its head.
黄昏
MELLOW CREAM
This chocolate stands out for its soft, lingering mellowness and delightful scent of shortbread – a flavor that’s sure to set a new standard in desirability.
宵闇
CACAO
Simple yet sharp, the spicy notes and intense bitterness combine to produce a chocolate worthy of the crown.
 The sweetness of the berry will leave you with an unforgettable experience.
Enjoy an intriguing harmony of the mellowness of chocolate and Nisshodo’s famous red bean paste.
雅
DAINAGON×ANN
Unique for embodying both the traditions and future of Nisshodo, we have combined our signature sweet white bean paste with an aromatic green tea to produce this amazing chocolate.
麗
ORANGE×ANN
Through a select combination of red bean paste from Hokkaido and orange peel, we have created a fusion of sweet and bitter in milk chocolate – enriching the taste of the West with that of the East.
日和
STRAWBERRY×ANN
Formed into a ball through a wrapping of strawberry-flavored chocolate over red bean paste, this piece plays on the rich fragrance from the beans and the fruitiness of strawberries.
趣
RAISIN×ANN
Adding rum and raisins to a Hokkaido red bean paste, we have created a white chocolate aimed at the mature palate, with a sweetness of the West infused with the East.
We have combined our beloved youkan from Nisshodo with chocolate to offer you a brand new experience in taste.
恋蛍
MILK×TSUBU YOUKAN
Coating a traditional Nisshodo youkan of Hokkaido red bean paste with milk chocolate, this piece answered a new challenge for the brand.
 This is a very fruity youkan chocolate.
木霊
MATCHA×WHITE YOUKAN
Encasing a raw string bean paste with rich green tea flavored chocolate, this piece is the ideal partner for a cup of traditional Japanese green tea.
面影
MILK×ICHIJIKU YOUKAN
An exciting harmony created by the taste of white fig and the creamy sweetness of the white chocolate coating.
Tento’s original chocolate bar. Hold it up and see the light shine through.
昴
CACAO×WHITE CHOCOLATE
Enjoy the rich flavor of milk chocolate along with the perfectly balanced fresh milkiness of white chocolate in this bar.
星影
MATCHA×WHITE CHOCOLATE
A bar that exquisitely combines the soft, milky flavor of white chocolate with the roasted bitterness of green tea.
赤星
STRAWBERRY×WHITE CHOCOLATE
To produce this bar we have blended a refined fruity strawberry chocolate created from strawberry paste with the distinctively fresh milkiness of white chocolate.
Enjoy the flavor of chocolate-covered marshmallow as it melts in your mouth.
玉響
MARSHMALLOW×CARAMEL
A blissful, dreamy combination of marshmallow and caramel provides the softest touch when it melts on your tongue.
泡沫
MARSHMALLOW×COCOA
A perfect union of the aroma of chocolate and the softness of marshmallow produces a balanced sweetness that you’ll want to taste again and again.
浮舟
MARSHMALLOW×STRAWBERRY
Something loved by all people of all ages, this chocolate was made from marshmallow covered with white chocolate, brushed with a layer of strawberry powder on the surface.
淡雪
MARSHMALLOW×WHITE
We coated marshmallows with white chocolate and dusted them with fine sugar powder. A nice cup of hot Japanese green tea would make a cozy companion for this chocolate.
Richly aromatic roasted pecan nuts are covered with mellow chocolate.
霙
NUTS×CARAMEL
Encasing pecan nuts with white chocolate and caramel powder, this chocolate perfectly balances the roasted and bitter notes with the full aroma of caramel.
時雨
NUTS×COCOA
Pecan nuts encapsulated in milk chocolate, with a rich cocoa powder aroma that no one can resist.
涼風
NUTS×MATCHA
Enjoy the distinctly rich flavor of pecan nuts encased in white chocolate blended with Japanese green tea powder, finished with a sprinkling of additional green tea powder.
木漏れ日
NUTS×WASANBON
With a dusting of wasanbon raw cane sugar over white chocolate coated pecan nuts, you’ll discover a taste of Japanese tradition hidden within a flavor from the West.
Strawberries from Tochigi are carefully covered using our white chocolate.
朧
STRAWBERRY
We infused the inside of freeze-dried strawberries with white chocolate, producing a crispy, crunchy, highly irresistible chocolate treat.
1038-1 Kamihatsuishi-machi,
Nikko-shi, Tochigi, 321-1401 Japan
TEL 0288-53-0534
Business Hours 11:00am-4:00pm
Closed on Wednesdays
(Closed on Tuesdays and Wednesdays from December to February)
10 minutes on foot from Toshugu Shrine
18 minutes on foot from Nikko Station


This vignette walks through the basics of how to use the VEB.Boost
package. In particular, it outlines the requirements for use-supplied inputs, as well as the different arguments that can be toggled in the veb_boost
function.
This section outlines the different user-supplied inputs to be provided to the veb_boost
function.
X
The user must supply an object to be used as the “input” for each node. The object X
can be of any form the user desires, so long as the user-supplied fitting and prediction functions work on the same input type. For generality, we will call the class of objects that X
belongs to as \(\mathcal{X}\).
Y
The user must supply a response vector Y
. If the data has Gaussian noise, Y
must be a numeric vector; if the data is binary, Y
must be a vector of 0’s and 1’s; if the data is multinomial, Y
can be a vector of any form.
For generality, we will call the space that Y
belongs to as \(\mathcal{Y}\).
fitFunctions
The user must supply 1 or k
functions to be used as the fitting functions for each node. If 1 function is given, then each node uses the same fitting function. If a list of k
functions is given, then each addition branch uses its own fit function.
For example, suppose we initialize our VEB-Boost tree with \(k = 2\), i.e. we start with \(Y = \mu_0 + \mu_1 + e\), and we want \(\mu_0\) and \(\mu_1\) to have different fitting functions, e.g. they use different data. Then our supplied X
could be a list of two matrices X = list(X1, X2)
, our first fit function could use X[[1]]
, and our second fit function could use X[[2]]
.
Define the space of a node’s fit to be \(\mathcal{F}\); for the variational approximation \(q\) of the fit of \(\beta\) (where \(\mu \equiv h(\beta)\)) encoded in \(\mathcal{F}\), this space must contain information on the following: \[ \begin{aligned} \mathbb{E}_q[\mu_i] = \mathbb{E}_q[h(\beta)_i], \quad i = 1, \dots, n \\ \mathbb{E}_q[\mu_i^2] = \mathbb{E}_q[h(\beta)_i^2], \quad i = 1, \dots, n \\ D_{KL}(q(\beta) || g(\beta)) \quad \text{for prior distribution } \; g \end{aligned} \]
A fit function \(f\) is a map \[ f: (\mathcal{X}, \mathbb{R}^n, \mathbb{R}_{++}^n, \mathcal{F}) \to \mathcal{F} \] So the fit function must take in 4 arguments:
The predictor object of the VEB-Boost tree;
The current (numeric) response at the given node;
The current variances at the given node;
The current fit at the given node, to be used as an itialization for the fit function.
The output of the fit function must be a list encoding the variational approximation fitted at the node.
The list MUST include the following elements: - $mu1
\(\in \mathbb{R}^n\): contains the first posterior moments of our fit, i.e. \(\mathbb{E}_q[\mu_i], \quad i = 1, \dots, n\);
$mu2
\(\in \mathbb{R}_+^n\): contains the second posterior moments of our fit, i.e. \(\mathbb{E}_q[\mu_i^2], \quad i = 1, \dots, n\);
$KL_div
\(\in \mathbb{R}_+\): contains the KL-divergence from the variational approximation to the prior at the node, i.e. \(D_{KL}(q || g) \quad \text{for prior distribution } \; g\).
predFunctions
The user must supply 1 or k
functions to be used as the prediction functions for each node. If 1 function is given, then each node uses the same prediction function. If a list of k
functions is given, then each addition branch uses its own prediction function.
A prediction function is a map \[ pred: (X_{new} \in \mathcal{X}, q \in \mathcal{F}, moment \in \{1, 2\}) \to \mathbb{E}_q[\mu^{moment}|X_{new}] \] In other words, given a new predictor object \(X_{new} \in \mathcal{X}\), and your current fit \(q \in \mathcal{F}\) that encodes the variational approximation \(q\), this function returns either the first or second moment for the fit using the given new data.
constCheckFunctions
The user must supply 1 or k
functions to be used as the constant check functions for each node. If 1 function is given, then each node uses the same check function. If a list of k
functions is given, then each addition branch uses its own check function.
A constant check function is a map: \[
c: \mathcal{F} \to \{\text{TRUE}, \text{FALSE}\}
\] In other words, it takes in the current fit of the node \(q \in \mathcal{F}\) and returns a TRUE
if the fit is close enough to a constant value, and FALSE
otherwise.
Note that the function \(c \equiv \text{FALSE}\) is a valid constant check function, but may retult in slower convergence.
veb_boost
ArgumentsThis section outlines the different arguments that can be modified in the veb_boost
function.
growTree
This argument specifies whether, after the current VEB-Boost tree is fit to convergence, if we will attempt to grow the tree. See growMode
.
k
and d
These arguments specify the initial structure of the VEB-Boost tree. k
must be a whole number, and d
either a whole number, or a k
-vector of whole numbers. WLOG, let d
be a k
-vector of whole numbers, possibly just one number repeated k
times. Then the initial tree structure is: \[
T(\mu_1, \dots, \mu_{d_1 + \dots d_k}) = \sum_{i = 1}^k \prod_{j = 1}^{d_i} \mu_{j + \sum_{l < i} d_l}
\] All nodes within a product share a fit function, prediction function, and constant check function, which is why the length of these inputs must be exactly 1 or k
.
growMode
This argument specifies how we grow the tree (assuming growTree
is TRUE
). There are 3 different options specifying how we “split” non-constant nodes:
"+*"
(RECOMMENDED): we grow \(\mu_0 \to (\mu_0 \circ \mu_2) + \mu_1\).
"+"
: we grow \(\mu_0 \to \mu_0 + \mu_1\);
"*"
, we grow \(\mu_0 \to \mu_0 \circ \mu_1\) (NOTE: Not recommended if we start with k = 1
);
changeToConstant
This argument specifies whether to change constant nodes to fit exactly a constant function, or whether they should continue to fit the user-specified function.
family
This argument specifies what family the data comes from: gaussian
, binomial
, or multinomial
.
tol
This argument specifies the convergence level to be used. Each pass at updating a given VEB-Boost tree structure ends when either the ELBO changes by less than tol
after updating all nodes, or when all nodes we would add would be constant.
vebose
This argument specifies whether to print the ELBO before we grow the VEB-Boost tree.
mc.cores
STILL IN DEVELOPMENT, but once operational, this argument will specify how many nodes to use when fitting multinomial
data, and allows us to update our trees (one for each class) in parallel. Only available on systems with forking functionality, e.g. UNIX-type systems.


Elvan Serin
Born in İzmir, 1985. Graduated from Bilkent University in 2009. MFA degree from Yeditepe University.
Solo Exhibitions:
- İşbank Sanat Galerisi, İzmir, 2012
- Galeribu, İstanbul, 2013
Artist Residencies:
- Affect Agora Artist Residency, Berlin, 2012
- Ceramic Artist in Residence, Neumünster, 2013
Selected Group Exhibitions:
- Nevnesil Savunma Sanatı, 2011
- Galeri Apel, İstanbul, Kupa, 2017
- Galeri Apel, İstanbul, Komşu, 2017
- Meleklerin Payı, Depo, İstanbul, 2017
Drawing on paper; 75x55cm; 2015
Ink on wood; 60x23cm; 2016
Stitch on tulle fabric; 75x50cm; 2016
Detail


The Association relationship models a relationship between objects that is not covered by another, more specific relationship.
Used to model relationships between Business Objects or Data Objects that are not modelled by the standard relationships.
The Association relationship is also used to link the informational concepts with the other concepts: a Business Object with a Representation, a Representation with a Meaning, and a Business Service with a Purpose.
The Association relationship can be used when drawing a first high-level model where relationships are initially denoted in a generic way, and later refined to show more specific relationship types.
Structural.


1. Symmetrizer module (symmetrize.sym)¶
@author: R. Patrick Xian
-
symmetrize.sym.
applyWarping
(imgstack, axis, warptype='matrix', hgmat=None, dfield=None, **kwds)[source]¶ Apply warping transform to a stack of images along the specified axis.
Parameters: - imgstack : 3D array
Image stack before warping correction.
- axis : int
Axis to iterate over to apply the transform.
- warptype : str | ‘matrix’
Type of warping (‘matrix’ or ‘deform_field’).
- hgmat : 2D array | None
3 x 3 homography (hg) matrix.
- dfield : list | None
Deformation fields for the x and y image coordinates.
**kwds
: keyword argumentsoutshape: tuple/list Shape of the output image. order: int Interpolation order. others: See cv2.warpPerspective()
andscipy.ndimage.map_coordinates()
.
Return: - imstack_transformed : 3D array
Stack of images after correction for warping.
-
symmetrize.sym.
compose_deform_field
(coordmat, mat_transform, stackaxis, ret='deformation', ret_indexing='rc')[source]¶ Compose the deformation/displacement field from coordinate and transform matrices.
Parameters: - coordmat : 3D array
Matrix of all pixel coordinates.
- mat_transform : 2D array
Transformation matrix.
- stackaxis : int
Axis of the stacking direction in the coordmat (0 or -1).
- ret : str | ‘deformation’
Option to return ‘deformation’ or ‘displacement’ fields.
- ret_indexing : str | ‘xy’
Indexing of return matrices, ‘rc’ (row deformation, column deformation) or ‘xy’ (x deformation, y deformation). Same for displacements.
Returns: Deformations fields of x and y coordinates.
-
symmetrize.sym.
coordinate_matrix_2D
(image, coordtype='homogeneous', stackaxis=0)[source]¶ Generate pixel coordinate matrix for a 2D image.
Parameters: - image : 2D array
2D image matrix.
- coordtype : str | ‘homogeneous’
Type of generated coordinates (‘homogeneous’ or ‘cartesian’).
- stackaxis : int | 0
The stacking axis for the coordinate matrix, e.g. a stackaxis of 0 means that the coordinates are stacked along the first dimension, while -1 means stacking along the last dimension.
Return: - coordmat : 3D array
Coordinate matrix stacked along the specified axis.
-
symmetrize.sym.
deform_field_merge
(operation, *fields)[source]¶ Combine multiple deformation fields.
Parameters: - operation : func/str
Function for merging the deformation fields.
- fields : list/tuple
Collections of deformaiton fields.
Return: Combined deformation field.
-
symmetrize.sym.
foldcost
(image, center, axis=1)[source]¶ Cost function for folding over an image along an image axis crossing the image center.
Parameters: - image : 2d array
Image to fold over.
- center : tuple/list
Pixel coordinates of the image center (row, column).
- axis : int | 1
Axis along which to fold over the image (1 = column-wise, 0 = row-wise).
Return: Cost in the form of root-mean-squared (RMS) difference between folded and the unfolded part of the image matrix.
-
symmetrize.sym.
imgWarping
(img, hgmat=None, landmarks=None, targs=None, rotangle=None, **kwds)[source]¶ Perform image warping based on a generic affine transform (homography).
Parameters: - img : 2D array
Input image (distorted).
- hgmat : 2D array
Homography matrix.
- landmarks : list/array
Pixel coordinates of reference landmarks (distorted).
- targs : list/array
Pixel coordinates of target landmarks (undistorted).
- rotangle : float
Rotation angle (in degrees).
**kwds
: keyword argumentcenter: tuple/list/1D array
Coordinates of the center of rotation.
outshape: tuple/list
Shape of the output image.
Other arguments see
cv2.warpPerspective()
.
Returns: - imgaw : 2D array
Image after affine warping.
- hgmat : 2D array
(Composite) Homography matrix for the tranform.
-
symmetrize.sym.
pointsetTransform
(points, hgmat)[source]¶ Apply transform to the positions of a point set.
Parameters: - points : 2D array
Cartesian pixel coordinates of the points.
- hgmat : 2D array
Transformation matrix (homography).
Return: - points_transformed : 2D array
Transformed Cartesian pixel coordinates.
-
symmetrize.sym.
rotVertexGenerator
(center, fixedvertex=None, cvd=None, arot=None, nside=None, direction=-1, scale=1, diagdir=None, ret='all', rettype='float32')[source]¶ Generation of the vertices of symmetric polygons.
Parameters: - center : (int, int)
Pixel positions of the symmetry center (row pixel, column pixel).
- fixedvertex : (int, int) | None
Pixel position of the fixed vertex (row pixel, column pixel).
- cvd : numeric | None
Center-vertex distance.
- arot : float | None
Spacing in angle of rotation.
- nside : int | None
The total number of sides for the polygon (to be implemented).
- direction : int | -1
Direction of angular rotation (1 = counterclockwise, -1 = clockwise).
- scale : float | 1
Radial scaling factor.
- diagdir : str | None
Diagonal direction of the polygon (‘x’ or ‘y’).
- ret : str | ‘all’
Return type. Specify
'all'
returns all vertices, specify'generated'
returns only the generated ones (without the fixedvertex in the argument).
Return: - vertices : 2D array
Collection of generated vertices.
-
symmetrize.sym.
rotation2D
(angle, center=(0, 0), to_rad=True)[source]¶ Rotation matrix in 2D in homogeneous coordinates.
Parameters: - angle : numeric
Rotation angle in image coordinates.
- center : list/tuple/1D array | (0, 0)
Coordinate of the image center in (row, column) form.
- to_rad : bool | True
Option to convert the angle into units of radian.
-
symmetrize.sym.
rotationDF
(coordmat, stackaxis=0, angle=0, center=(0, 0), to_rad=True, **kwds)[source]¶ Deformation field of 2D rotation in image coordinates.
Parameters: See symmetrize.sym.rotation2D()
.
-
symmetrize.sym.
scaledRotation2D
(center, angle, scale)[source]¶ Scaled rotation matrix in 2D in homogeneous coordinates.
Parameters: - center : list/tuple
Coordinates of the center point of rotation.
- angle : numeric
Angle of rotation (in degrees).
- scale : numeric
Radial scaling factor.
-
symmetrize.sym.
scaling2D
(xscale, yscale)[source]¶ Biaxial scaling matrix in 2D in homogeneous coordinates.
Parameters: - xscale, yscale : numeric, numeric
Scaling factors along x and y directions.
A scaling factor in the range (1, +inf) amounts to zooming in.
A scaling factor in the range [0, 1) amounts to zomming out.
-
symmetrize.sym.
scalingDF
(coordmat, stackaxis=0, xscale=1, yscale=1, **kwds)[source]¶ Deformation field of 2D scaling in image coordinates.
Parameters: See symmetrize.sym.scaling2D()
.
-
symmetrize.sym.
shearing2D
(xshear, yshear)[source]¶ Biaxial shearing matrix in 2D in homogeneous coordinates.
Parameters: - xshear, yshear : numeric, numeric
Shearing parameters for the x and y axes.
-
symmetrize.sym.
shearingDF
(coordmat, stackaxis=0, xshear=0, yshear=0, **kwds)[source]¶ Deformation field of 2D shearing in image coordinates.
Parameters: See symmetrize.sym.shearing2D()
.
-
symmetrize.sym.
sym_pose_estimate
(image, center, axis=1, angle_range=None, angle_start=-90, angle_stop=90, angle_step=0.1)[source]¶ Estimate the best presenting angle using rotation-mirroring grid search such that the image is symmetric about an image axis (row or column). The algorithm calculates the intensity difference mirrored from the center of the image at a range of rotation angles and pick the angle that minimizes this difference.
Parameters: - image : 2d array
Input image for optimal presenting angle estimation.
- center : tuple/list
The pixel coordinates of the image center.
- axis : int | 1
The axis of reflection (0 = row, 1 = column).
- angle_range : list/array | None
The range of angles to be tested.
- angle_start, angle_stop, angle_step : float, float, float | -90, 90, 0.1
The bounds and step to generate.
Returns: - aopt : float
The optimal rotation needed for posing image symmetric about an image axis.
- imrot : 2d array
Image rotated to the optimal presenting angle.
-
symmetrize.sym.
target_set_optimize
(init, targpts, center, mcd, med, direction=-1, rotsym=6, weights=(1, 1, 1), optfunc='minimize', optmethod='Nelder-Mead', include_center=False, ret='lean', **kwds)[source]¶ Optimization of the target point set for image symmetrization.
Parameters: - init : list/tuple
Initial conditions.
- targpts : 2D array
Pixel coordinates of the target point set.
- center : list/tuple/array
Image center position.
- mcd : numeric
Mean center-vertex distance.
- med : numeric
Mean edge distance.
- niter : int | 200
Number of iterations.
- direction : int | -1
Direction of the target generator.
- rotsym : int | 6
Order of rotational symmetry.
- weights : tuple/list/array | (1, 1, 1)
Weights assigned to the objective function.
- optfunc : str/function | ‘minimize’
Name of the optimizer function.
'basinhopping'
Use thescipy.optimize.basinhopping()
function.'minimize'
Use thescipy.optimize.minimize()
function.others
Use other user-specified optimization function optfunc.- optmethod : string | ‘Nelder-Mead’
Name of the optimization method.
- include_center : bool | False
Option to include center.
**kwds
: keyword argumentsKeyword arguments passed to the specified optimizer function.
Returns: - ptsw : 2D array
Collection of landmarks (pts = points) after warping (w).
- H : 2D array
Coordinate transform matrix.
- res : dictionary
Full optimization outcome given by the optimizer (when
ret='all'
is set).


| 接口 | 说明 |
|---|---|
| WebFluxConfigurer |
Defines callback methods to customize the configuration for WebFlux
applications enabled via
@EnableWebFlux . |
| 类 | 说明 |
|---|---|
| CorsRegistration |
Assists with the creation of a
CorsConfiguration instance for a given
URL path pattern. |
| CorsRegistry |
Assists with the registration of global, URL pattern based
CorsConfiguration mappings. |
| DelegatingWebFluxConfiguration |
A subclass of
WebFluxConfigurationSupport that detects and delegates
to all beans of type WebFluxConfigurer allowing them to customize the
configuration provided by WebFluxConfigurationSupport . |
| PathMatchConfigurer |
Assist with configuring
HandlerMapping 's with path matching options. |
| ResourceChainRegistration |
Assists with the registration of resource resolvers and transformers.
|
| ResourceHandlerRegistration |
Assist with creating and configuring a static resources handler.
|
| ResourceHandlerRegistry |
Stores registrations of resource handlers for serving static resources such
as images, css files and others through Spring WebFlux including setting cache
headers optimized for efficient loading in a web browser.
|
| UrlBasedViewResolverRegistration |
Assist with configuring properties of a
UrlBasedViewResolver . |
| ViewResolverRegistry |
Assist with the configuration of a chain of
ViewResolver 's supporting
different template mechanisms. |
| WebFluxConfigurationSupport |
The main class for Spring WebFlux configuration.
|
| WebFluxConfigurerComposite |
A
WebFluxConfigurer that delegates to one or more others. |
| 注释类型 | 说明 |
|---|---|
| EnableWebFlux |
Adding this annotation to an
@Configuration class imports the Spring
WebFlux configuration from WebFluxConfigurationSupport that enables
use of annotated controllers and functional endpoints. |


Sacramento Crime DS
Home
About
Contact
Map-Background:
Filter:
Sacramento's crimes on a map.
Dangerousness of Sacramento's district at a certain time.


Excellent service, excellent food, excellent experience! I eat here with my boyfriend every week, and I have never found a single dish that wasn't amazing! The staff is extremely friendly, and the restaurant is instagram picturesque. I cannot recommend Tom's enough! You need to go!
I came here on a Friday night at 7:45 and the restaurant was about half full and I was seated right when I walked in. At around 8 though, the restaurant was packed and there were some people waiting at the door so I would recommend getting there a little earlier. It's located in the same shopping center as Golden Foods Supermarket next to Arco Seafood Restaurant.
I ordered the Kimchi Beef Noodle Soup which was around $8 and I really liked it! When it came out it was still bubbling. You're supposed to crack the egg they give you on top of it right when it comes out but I didn't. The sides are good. I tried
the fish, beansprouts, and tofu and I liked them all. You get your own rice pot as well which is pretty awesome. My sister said I smelled like sausage or pepperoni when I came home so you'll probably smell but it's totally worth it. Can't wait to go back!
Jang Guem has one major thing going for it: value. You just can't beat the prices and amount of food. You'll spend less than $9 per person and leave stuffed. But...it's all super sweet. I mean, I Love Korean marinade and sauces - they lean on the sugary side. I don't love my soup that sweet though, and all the ones we tried were.
The only restaurant I frequent enough to the point where the owner knows me by face and knows exactly what my family and I order each time. I only go for the jjigae and occasionally order the bulgogi. They are called a tofu restaurant for a reason. They have the best korean tofu soups in town. Very flavorful broth loaded with silken tofu. Served in a bubbling stone bowl- drop in that raw egg for a perfectly poached egg. The menu has several jjigaes so you get to order the soup with any base of your choosing (pork, kimchee, seafood). You also choose the spice level.
See More...
Served with unlimited banchan and you have an amazing spread of korean food before you. After going to korea- I realized this restaurant is not "authentic" but I don't care. The jjgaes are bomb- I'll have it anytime. Now the other items on the menu are a hit or miss. The five star rating is only based on the soups. The bulgogi is different from other Korean restaurants- in a good way. They use thin strips of pork which allow for the sauce to soak in and the meat to be tender. It served on a hot plate so it stays hot. This place serves a great warm homemade feeling meal. Servers are constantly changing but they are always super attentive and never fail to ask if you want a refill on banchan.
See Less
The food here is also pretty good. They are generous with giving the banchan side dishes and huge clay pots of rice. My fiance and I both ordered combos of grilled meat and tofu stew - the spicy barbecue chicken was really well-marinated and cooked perfectly. The tofu stews used huge pieces of tofu that were obviously high quality.


Before Change
state = {"hsz": self.hsz, "batchsz": self.batchsz, "layers": self.layers}
with open(basename + ".state", "w") as f:
json.dump(state, f)
tf.train.write_graph(self.sess.graph_def, outdir, base + ".graph", as_text=False)
with open(basename + ".saver", "w") as f:
f.write(str(self.saver.as_saver_def()))
After Change
"layers": self.layers,
"tgt_key": self.tgt_key
}
for prop in ls_props(self):
state[prop] = getattr(self, prop)
write_json(state, basename + ".state")
for key, embedding in self.embeddings.items():
embedding.save_md("{}-{}-md.json".format(basename, key))