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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.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. A company’s production data, third-party ads data, click stream data, CRM data, and other data are hosted on various systems.