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 60: What is U-SQL?
Episode 59: Mirroring, Availability Groups, Replication, and Log shipping
Episode 58: 4 ways to stay sharp with technical learning
Episode 57: What SQL Server feature would you change?
Episode 56: What is your favorite SQL Server 2016 Feature?
Episode 55: The new and improved SQL Server Reporting Services
Episode 54: An Executive Panel Interview
Episode 53: THE Argenis Fernandez interview on storage
Episode 52: Statistics are coming to the DB R you ready?
Episode 51: A PowerShell Story
Episode 50: SQL Server Settings
Epsidode 49: Temp Tables VS Table Variables
Episode 48: Is the Data Warehouse Dead?
Episode 47: Helping Your Data Find A Home
Episode 46: Unraveling Code
Episode 45 Service Broker
Episode 44: Azure SQL Data Warehouse
Episode 43: Why is ETL so hard?
Episode 42: Who made that change? Find out with Auditing
Episode 41: Index Maintenance
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