LA Data Platform

Welcome to the LA Data Platform (formerly SQLMalibu)!

Join us every 3rd Wednesday of every month between 7:00 PM and 9:00 PM, where we network and discuss Microsoft Data Platform topics. Our monthly meetings are FREE, casual and EVERYONE is welcome. Hope to see you very soon!!!

Upcoming Events

Next Meeting




Malibu SQL Server UG: xVelocity Fundamentals

  • In-Person @
  • 18:30 - 21:00 Pacific Daylight Time
  • Language: English

 Come and join us at SQL Malibu for another great featured presentation. Refreshments will be provided free of charge! This month we have a couple of exciting prize draws and announcements around SQL Server space.


06:30 pm - 07:00 pm Networking / Snacks
07:00 pm - 08:30 pm Welcome note and Presentation
08:30 pm - 09:00 pm Prize Draw and Networking 


Featured Presentation:

xVelocity Fundamentals: Understanding PowerPivot and AS Tabular

Brent Greenwood, Senior BI Engineer / DBA Altegris Investments

xVelocity… PowerPivot… Tabular… What are these new technologies, how do they work, and what can they do for me? Attend this session to gain an understanding of the fundamental concepts and components of the xVelocity Engine within PowerPivot and Analysis Services Tabular. We'll cover the core design principles, how data models are built, what happens during model processing, and what happens at query time. We'll also cover common solution deployment patterns and some recommendations for model design that will help ensure optimal results for your PowerPivot & Tabular solutions.

About Brent:
Brent Greenwood, MS, MCITP, CBIP, is a PowerPivot junkie and long-time Microsoft BI Pro with 13+ years of experience in the data analysis, data warehousing, and business intelligence crafts. He's delivered solutions and worn lots of different hats in a variety of verticals, including Investment Management, Brokerage, Insurance Services, Healthcare, and Higher Education. Most importantly, Brent is a cycling enthusiast and loves riding and building prototypes with AdventureWorks cycling data.

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