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 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
Episode 40: SQL Server Compression
Episode 39: Set statistics and StatisticsParser.com
Episode 38: SQL Server 2016 Feature Review
Episode 37: PowerBI and the DBA
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