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 135: Seinfeld Episode
Episode 134: CosmosDB
Episode 133: Shrinking Files
Episode 132: What technologists can learn from superheroes
Episode 131: Big Data Solutions in the Cloud
Episode 130: Use Case for PowerShell
Episode 129: Graph Databases
Episode 128: Database Doing DevOps
Episode 127: Developing in the database
Episode 126: SQLSaturday Edition
Episode 125: You must be an engineer
Episode 124: Beyond the runbook; DR Organization
Episode 123: Top 5 things to know when getting admin access
Episode 122: Isolation Levels
Episode 121: What makes a good manager?
Episode 120: SQL Injection
Episode 119: Getting started with GitHub
Episode 118: How has index maintenance changed?
Episode 117: PASS Summit Retrospective
Episode 116: Are people still using PSSDiag?
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