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 137: You want to work with Analytics?
Episode 136: Devops with Visual Studio
Episode 135: Seinfeld Episode
Episode 134: CosmosDB
Episode 133: Shrinking Files
Episode 132: What technologists can learn from superheroes
Episode 131: Big Data Solutions in the Cloud
Episode 130: Use Case for PowerShell
Episode 129: Graph Databases
Episode 128: Database Doing DevOps
Episode 127: Developing in the database
Episode 126: SQLSaturday Edition
Episode 125: You must be an engineer
Episode 124: Beyond the runbook; DR Organization
Episode 123: Top 5 things to know when getting admin access
Episode 122: Isolation Levels
Episode 121: What makes a good manager?
Episode 120: SQL Injection
Episode 119: Getting started with GitHub
Episode 118: How has index maintenance changed?
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