About this episode
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
Get every episode summarized
Each time Azure Friday publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Azure Friday
Deploying Aspire Apps to Azure App Service for Linux
Azure Friday
Future-proof Postgres for better performance and scale
Azure Friday
Turning Coding Agents into an Azure Cosmos DB Expert with the Agent Kit
Azure Friday
Meet Azure HorizonDB, the new Postgres on Azure
Azure Friday