Data Pipeline- Definition, Architecture, Examples, and Use Cases
ProjectPro
DECEMBER 7, 2021
A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. Step 3- Ensuring the accuracy and reliability of data within Lakehouse.
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