M365.FM | Microsoft 365, Azure Cloud, Power Platform & AI podcast

Data Lake vs Lakehouse vs Warehouse - Simply Explained

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Gartner predicted that eighty percent of data lakes would fall short, and the culprit was missing labels and catalogs. That gap is part of why a third option showed up, the data lakehouse, sitting beside the older data warehouse and data lake.

In this episode of Simply Explained you will learn:
  • Where all this data comes from
  • The data warehouse, the tidy one
  • The data lake, the cheap and messy one
  • How a lake turns into a swamp
  • The lakehouse, which tries to have both
  • Where this lives in Microsoft Fabric
  • OneLake and the one copy of data
  • Direct Lake, Power BI, and the honest limits
  • The short version and a question

Simply Explained by M365.FM breaks down Microsoft 365, Azure and modern IT topics in clear, jargon-free language. Hosted by Mirko Peters.

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This episode includes AI-generated content.

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