Artwork

Content provided by Scott Hanselman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Scott Hanselman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Azure SQL Database: Columnstore indexes

 
Share
 

Manage episode 354391404 series 3444474
Content provided by Scott Hanselman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Scott Hanselman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Davide Mauri is back with Lara Rubbelke to discuss columnstore indexes. In a typical relational database data is stored per row. This means that all row columns are saved together, which is great in all those cases where you want to retrieve all the information related to a specific row. But what if you want to have all the data stored in a subset of columns but for all the rows? That would be complex and slow—unless data was saved per-column instead of per-row. That's exactly what columnstore indexes in Azure SQL Database enables you to do. Chapters 00:00 - Introduction 01:00 - Columnstore overview 07:00 - Demo: index creation 10:14 - Demo: querying with columnstore 13:53 - Demo: batch mode with LAG operator 15:00 - Wrap-up Recommended resources Columnstore indexes: Overview Azure SQL Database Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Lara Rubbelke | Twitter: @SQLGal Davide Mauri | Twitter: @MauriDB Azure Friday | Twitter: @AzureFriday

  continue reading

485 episodes

Artwork

Azure SQL Database: Columnstore indexes

Azure Friday

13 subscribers

published

iconShare
 
Manage episode 354391404 series 3444474
Content provided by Scott Hanselman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Scott Hanselman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Davide Mauri is back with Lara Rubbelke to discuss columnstore indexes. In a typical relational database data is stored per row. This means that all row columns are saved together, which is great in all those cases where you want to retrieve all the information related to a specific row. But what if you want to have all the data stored in a subset of columns but for all the rows? That would be complex and slow—unless data was saved per-column instead of per-row. That's exactly what columnstore indexes in Azure SQL Database enables you to do. Chapters 00:00 - Introduction 01:00 - Columnstore overview 07:00 - Demo: index creation 10:14 - Demo: querying with columnstore 13:53 - Demo: batch mode with LAG operator 15:00 - Wrap-up Recommended resources Columnstore indexes: Overview Azure SQL Database Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Lara Rubbelke | Twitter: @SQLGal Davide Mauri | Twitter: @MauriDB Azure Friday | Twitter: @AzureFriday

  continue reading

485 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play