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 216: EDI vs ETL
Episode 215: Azure Data Factory
Episode 213: New Goals for 2021
Episode 212: 10 Things You Need to Know About Data Security
Episode 211: Solorigate
Episode 210: The Elephant in the Room
Episode 209: Career Ready: Advice to New Graduates
Episode 208: SQL Server and Graph Data
Episode 207: SQL Trail 2020 Retrospective
Episode 206: .NET Core Interactions with SQL Server
Episode 205: Data Modeling for Power BI
Episode 204: IoT in Azure
Episode 203: Spark in Action
Episode 202: Virtual Conferences
Episode 201: Common Data Model
Episode 200: Anything but the Cowboys . . .
Episode 199: Technical Debt
Episode 198: Cloud Infrastructure
Episode 197: Power Query in Power BI
Episode 196: Teleworking
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