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 235: SQL Trail 2021 In-person Q&A
Episode 234: Communication Tips for the IT Pro
Episode 233: ScriptDOM
Episode 232: Giving Technical Presentations
Episode 231: Mental Health and Wellness in IT
Episode 230: RTO & RPO
Episode 229: Data Migration Assistant
Episode 228: Predicting Application Problems with Database Metrics
Episode 227: SSDT Methodologies for DB DevOps
Episode 226: SQL Server IaaS Agent Extension
Episode 225: Dashboard Design Principles
Episode 224: The Standup Meeting
Episode 223: Podcast Update
Episode 222: Azure Arc-enabled Data Services
Episode 221: SQL Trail March 2021 Retrospective
Episode 220: Microsoft Ignite Recap
Episode 219: SQL Server Inventory
Episode 218: File Growths
Episode 217: A Little Something About A Few Things
Episode 216: EDI vs ETL
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