Hello, compañeros! You’ve heard of Hekaton and in-memory tables before, but what does in memory really mean for your database? Perhaps you have questions like I did, like how does in memory OLTP differ from disk-based tables? What data types aren’t allowed in in-memory tables? Is in-memory only an “on premises” feature or does Hekaton work in Azure too? Is there a minimum amount of memory required for in-memory tables?
In Episode 34 of the SQL Data Partners Podcast, we’re going to talk about in-memory OLTP and in-memory tables with Jos De Bruijn. Jos is a Program Manager at Microsoft for SQL Server In-memory OLTP. We sit with Jos and we explore how in-memory tables work and why they’re just as durable as traditional disk-bound tables. He lays out the whole process. Jos also answers common DBA concerns about them and discusses how to make them efficient. Jos reveals the SQL Server 2016 features that affect in-memory OLTP.
As always, you can catch the show notes for today's episode at http://sqldatapartners.com/2016/03/08/inmemorytables/
Episode 260: Contained Availability Groups
Episode 259: T-SQL Snapshot Backups
Episode 258: Leave 2022 Enter 2023
Episode 257: The Business of Working for Yourself
Episode 256: The Community Episode
Episode 255: Automate Complex CRUD with sp_CRUDGen
Episode 254: Code Smell Checks with sp_Develop
Episode 253: Go Mobile with Power Apps
Episode 252: The Cumulative Update Dilemma
Episode 251: Azure Cognitive Services
Episode 250: What happens before... “COMPANEROS!”
Episode 249: Data Marts in Power BI
Episode 248: Inventory Documentation
Episode 247: Pushing the Boundaries or Pushing Your Luck
Episode 246: Microsoft Build 2022 Announcements
Episode 245: Tooling Updates
Episode 244: Extended Events vs SQL Server Audit
Episode 243: Choosing What Content To Focus On
Episode 242: Upgrading Your SQL Server
Episode 241: Replicating Data with Azure SQL Data Sync
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