Understanding the Differences Between Data Lakes and Data Warehouses
Smart Data Collective
AUGUST 28, 2021
In other words, data warehouses store historical data that has been pre-processed to fit a relational schema. Data lakes are much more flexible as they can store raw data, including metadata, and schemas need to be applied only when extracting data. Target User Group.
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