Data Pipeline- Definition, Architecture, Examples, and Use Cases
ProjectPro
DECEMBER 7, 2021
The second step for building etl pipelines is data transformation, which entails converting the raw data into the format required by the end-application. The transformed data is then placed into the destination data warehouse or data lake. It can also be made accessible as an API and distributed to stakeholders.
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