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 275: Machine Learning and Power BI
Episode 274: A CMM Case Study
Episode 273: The Capability Maturity Model for Data Professionals
Episode 272: Performance Tuning Scripts
Episode 271: Pass Summit 2023 Wrap-Up
Episode 270: Medallion Architecture
Episode 269: Why Do I Need a Managed Service Provider?
Episode 268: AI and the Future of the Database
Episode 267: Microsoft Fabric
Episode 266: Working with Containers
Episode 265: WHY and What's Next
Episode 264: Verified Backups
Episode 263: SQL Server This ‘n That
Episode 262: Learning Azure Synapse Pt 1
Episode 260: Contained Availability Groups
Episode 259: T-SQL Snapshot Backups
Episode 258: Leave 2022 Enter 2023
Episode 257: The Business of Working for Yourself
Episode 256: The Community Episode
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