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 76: Availability Group Improvements
Episode 75 Storage Testing
Episode 74: 2016 Year in Review
Episode 73: Performance Tuning
Episode 72: Test Automation in BI
Episode 71: BI Tools of the Trade
Episode 70 SQL Server on Linux
Episode 69: Our SQL Server Setup Checklist
Episode 68: SSIS Administration
Episode 67 Dear Developer
Episode 66: Microsoft's Professional Program
Episode 65: Do you have good data architecture?
Episode 64: Certifications and Career Development
Episode 63: New Data AvailabilityFeatures in SQL Server 2016
Episode 62: Ask Me Anything--Cortana Intelligence Suite
Episode 61: The Debrief
Episode 60: What is U-SQL?
Episode 59: Mirroring, Availability Groups, Replication, and Log shipping
Episode 58: 4 ways to stay sharp with technical learning
Episode 57: What SQL Server feature would you change?
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