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 194: PolyBase Use Cases
Episode 193: Power BI Premium
Episode 192: The DBA is Dead! Long Live the DBA!
Episode 191: Power BI Row-Level Security
Episode 190: SQL Server 2019
Episode 189: Power BI Common Data Model
Episode 188: Databricks
Episode 187: Power BI Performance Tuning
Episode 186: Analytics & Security: Find Pain Points, Make a Plan
Episode 185: DBATools in a Month of Lunches
Episode 184: Where do people get stuck with Power BI?
Episode 183: SQL Server Big Data Clusters
Episode 182: XEvents
Episode 181: Paginated Reports in Power BI
Episode 180: PolyBase in SQL Server 2019
Episode 179: SQL Trail Recap & Buying Power BI
Episode 178: Database Design
Episode 177: Lock Pages in Memory
Episode 176: Power BI Storage Options
Episode 175: Migrating to the Cloud
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