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0:28
YouTube
Learning with Rohan
Data Lakes vs Data Warehouses
Day 8/100 of Data & AI A decade ago, enterprises realized traditional Data Warehouses were too expensive for storing massive un-aggregated data. Relational warehouses demanded schema-on-write, forcing teams to structure every single byte before loading. To solve this, organizations built Data Lakes using cheap cloud storage like AWS S3 or Azure ...
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