Remove Data Architecture Remove Data Consolidation Remove Data Integration Remove ETL Tools
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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

To understand the working of a data pipeline, one can consider a pipe that receives input from a source that is carried to give output at the destination. A pipeline may include filtering, normalizing, and data consolidation to provide desired data. What is a Big Data Pipeline?

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Reverse ETL to Fuel Future Actions with Data

Ascend.io

As we hinted at in the introduction, reverse ETL stands on the shoulders of two data integration techniques: ETL and ELT. The ETL process is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into a target destination.