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 177: Lock Pages in Memory
Episode 176: Power BI Storage Options
Episode 175: Migrating to the Cloud
Episode NULL: Summer Break
Episode 174: Power BI Report Server
Episode 173: New Data Certifications
Episode 172: Power BI Monitoring
Episode 171: SQL Server Encryption
Episode 170: Devops with Power BI
Episode 169: Should you learn to code?
Episode 168: Data Privacy Settings
Episode 167: Azure SQL Data Sync
Episode 166: Custom Visuals
Episode 165: Artificial Intelligence
Episode 164: The DAX Episode
Episode 163: Very Large Databases
Episode 162: Power Query vs DAX
Episode 161: Migrating/Upgrading 8000 databases
Episode 160: Power BI Embedded
Episode 159: Power BI Dataflows
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