It would appear Microsoft has run out of words to use for new features/products, so they are just going to recycle existing words for a bit of fun at our expense. In this episode we explore the Azure Data Lakehouse—which is not a data lake, nor a traditional data warehouse and Books Online (BOL) refers to it as Databricks Lakehouse. Luke Moloney walks us through how combining the flexibility of data lake storage with some ACID transaction and data governance gives organizations looking to analyze their data a new option. The hope is the cost to build, store, and analyze data will be easier and more approachable for organizations who don’t want to go with the traditional data warehouse model. This still feels like an Enterprise feature to me but let me know if your organization would be interested in this approach. As always, special thanks to Luke and the folks at Microsoft for making themselves available to us.
The show notes and video for today's episode can be found at https://sqldatapartners.com/2023/03/01/episode-261-the-data-lakehouse. Have fun on the SQL Trail!
Episode 155: Data Science
Episode 154: Test Driven Development
Episode 153: SQL Trail 2018 Retrospective
Episode 152: Do you use Analysis Services?
Episode 151: Azure SQL Database Managed Instance
Episode 150: The SQL Data Partners Team
Episode 149: Managing lots of databases
Episode 148: High Performance SSRS
Episode 147: Always Encrypted
Episode 146: SQL Trail Speakers
Episode 145: Is SSIS still relevant? Part 2
Episode 144: Is SSIS still relevant? Part 1
Episode 143: Transitioning from DBA to Data Warehouse Architect
Episode 142: Do You Have a HEAP of Hurting?
Episode 141: Wait, Wait, What?
Episode 140: Why data types matter
Episode 139: Getting Started with SQL Server in Azure
Episode 138: Meeting of the Minds
Episode 137: You want to work with Analytics?
Episode 136: Devops with Visual Studio
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