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

Wednesday,

February

22

Columnstore Indexes - is it the DW "Faster" switch you are looking for?

Todays speakers are Johan Ludvig Brattås and Alexander Lahuerta.


We'll start at 5PM, the sessions will start at 5:30 at the latest and food and beverage will be provided. 

 

Featured Presentation:

Columnstore Indexes - is it the DW "Faster" switch you are looking for?

Johan Ludvig Brattås, Lead Solutions Architect Capgemini

Columnstore was introduced in SQL Server 2012, and improved upon in the following releases. SQL Server 2016 also saw the introduction of the Operational Analytics feature. Columnstore has grown into maturity, and people are really starting to put it to use, but is Columnstore allways the solution to your performance issues? Are there situations where columnstore isn't the answer? Join us today for a closer look at when to use and when to not use columnstore in a SQL Server 2016 enviroment. We'll be looking at both traditional non-clustered and clustered columnstore as well as the Operational Analytics role.

About Johan Ludvig:
Johan Ludvig Brattås is a managing consultant at Capgemini, and a dedicated community guy. He has worked with MS SQL server since late 1999, mostly with BI in one form or another. The last 4 years, most of his work has been in Azure working on VMs, data lakes, PowerBI, and the last two years focusing on Azure IoT and Stream Analytics. Combining his passion for Microsoft SQL Server with his passion for sharing knowledge, he has spoken at various events in the SQL Community. This is also a way to give back to the community for all the things he has learned over the years. When not working, Johan Ludvig either spends his time with his kids, playing with new technology, or teaching coeliacs how to bake glutenfree food.

PivotTables

Alexander Lahuerta, Program Manager Microsoft

Enhancements in PivotTables

About Alexander:
https://www.linkedin.com/in/bereasonable/

Supplementary Materials

The following event attachments are available to you:

Sponsors:

Webstep
Glasspaper
dbWatch
Avanade

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