Microsoft Data Platform User Group Norway

Welcome to Microsoft Data Platform User Group Norway!

PASSChapterLogo.jpgMicrosoft Data Platform User Group Norway (MDPUG Norway, formerly SQL Server User Group Norway) is for for everyone interested in or working with Microsoft Data Platform technologies including SQL Server, SQL Server Reporting Services & Analysis Services, Information Management (SQL Server Integration Services, Azure Data Factory (ADF) & Data Sync), Power BI, Analytics Platform System, Cortana Analytics Suite, Azure Data Lake, Azure DocumentDB, Azure HDInsight and Hadoop, Spark, & Storm on Azure, Azure Machine Learning, Azure Search, Azure SQL Data Warehouse, Azure SQL Database and Azure Stream Analytics. Our goals are to share knowledge, present new technologies, network and have fun. We welcome everyone from database administrators and developers to business intelligence professionals and students.

Membership is free, join us today!

We are always looking for speakers. Have you worked on an interesting project? Discovered a cool feature? Built an automated framework? Performance tuned the heck out of an application? Scripted all your daily tasks? Join us and share your experiences! We are looking for both Norwegian and English presentations of all levels.

Our meetings are managed via our Meetup group. You can also find Microsoft Data Platform User Group Norway on LinkedIn and you can join us on Twitter by following @MDPUGNorway and using the hashtag #MDPUGNorway.

Next Meeting

Tuesday,

May

07

Enterprise Scale Case Study with Kevin Kline , Principal Program Manager at SentryOne

As part of his Nordic engagement speaking tour, Kevin Kline from SentryOne is coming to Teknologihuset on May 7th to deliver a session!

Food and mingling will start around 17:00, and Kevin will start his presentation around 17:20.

See you there!

Featured Presentation:

Real-World Case Study: Push Your App to Enterprise Scale with Advanced SQL Server Features

Kevin Kline, Principal Program Manager SentryOne

You have an OLTP database application which sustains a heavy mixed workload with lots of read and write transactions at the same time that it reports data to a client application. Performance was fine for a long time, but it is not meeting your needs now that it must scale to much higher workloads. What should you do? In this real-world case study, you’ll learn about a series of technologies that provide unprecedented scalability, including data compression, In-Memory OLTP, and clustered-partitioned columnstore indexes. We will walk you through a chronology of the application and database architecture, its changes over time, and the degree of performance improvement achieved with each new SQL Server feature applied. This session will teach you all about planning and implementing advanced SQL Server performance features and how each one impacts your system performance for applications with 100’s or 1000’s of concurrent users. Here’s what you’ll learn in this session: Goal 1: Learn how to plan, prepare for, and implement advanced features on SQL Servers, including data compression, In-Memory OLTP, and clustered-partitioned columnstore indexes. Goal 2: See the performance impact of each of the major feature implementations as they relieve performance bottlenecks. Goal 3: Learn about the trade-offs in applying major new features, tips and tricks, and other advice for achieving enterprise scale in your SQL Server applications. Prerequisites: Intermediate experience with Microsoft SQL Server administration, application architecture, and SSMS.

About Kevin:
Kevin Kline is a database and industry expert serving as Principal Program Manager at SentryOne, the industry leading SQL Server database tools vendor. A Microsoft SQL Server MVP since 2003, he is a founder and former president of PASS. Kevin is an author of many books, blogger, columnist, and popular international speaker. Kevin’s best known book is the best-selling SQL in a Nutshell and contributes monthly to Database Trends & Applications magazine. He tweets at @kekline and blogs at http://Blogs.SQLSentry.com/Author/KevinKline.

Supplementary Materials

The following event attachments are available to you:

Sponsors:

Webstep
Glasspaper
dbWatch
Avanade

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