Categories
Session

The ABCs of BDCs: Big Data Clusters for Beginners

Our final user group session for the year is on Wednesday, 24 November 2021, at 5:00 PM Mountain. There will be no lightning talk beforehand.

The event will be ONLINE ONLY, accessible through Microsoft Teams. The link will be provided when you RSVP using Eventbrite or Meetup. You are encouraged to join about 15 minutes beforehand.

To participate in the chat, you must join the Microsoft Teams tenant (it’s free!). You can do so with this link, or clicking on the “Join Teams tenant” menu option on the top right of this screen.

RSVP options

You can RSVP using either the Eventbrite or Meetup links below:

Agenda

5:00pm – 5:10pm Welcome and messages
5:10pm – 6:10pm Feature session (Bob Pusateri)
6:10pm – 6:25pm Q & A with Bob

The ABCs of BDCs: Big Data Clusters for Beginners (Bob Pusateri)

Big Data Clusters are one of the hot new SQL Server buzzwords, but what exactly are they? Attend this session to learn the basics of this hot new technology that adds HDFS and Spark to SQL Server. Topics covered include SQL Server Big Data Cluster components, architecture, and demonstrations of queries that combine relational and non-relational datasets.

Attendees will leave with an understanding of how Big Data Clusters differ from a standard SQL Server deployment, the advantages and capabilities they offer, and which scenarios benefit most from their utilization. Big data is only getting bigger and it’s a tremendous skill area for career growth – join us for a great introduction to a powerful new feature of SQL Server!

About the speaker

Bob Pusateri is a Microsoft Data Platform MVP, Microsoft Certified Master, and systems architect with over 15 years experience on SQL Server and the Microsoft Data Platform. His interests involve internals, performance optimization, and cloud technologies. He is very active in the Chicago data platform community, and a frequent speaker at local, national, and international events.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.