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 percolumn instead of perrow. 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 – Wrapup

Recommended resources
■ Columnstore indexes: Overview – https://aka.ms/azfr/724/01
■ Azure SQL Database – https://aka.ms/azfr/724/02
■ Niko Neugebauer on Columnstore – http://www.nikoport.com/columnstore/
■ Create a PayasYouGo account (Azure) – https://aka.ms/azfr/724/payg
■ Create a free account (Azure) – https://aka.ms/azfr/724/free

Connect with us
■ Lara Rubbelke | @SQLGal –   / sqlgal  
■ Davide Mauri | @MauriDB –   / mauridb  
■ Azure Friday | @AzureFriday –   / azurefriday  

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