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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.
Become a supporter of this podcast:
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This episode includes AI-generated content.
