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Data Pipeline and Warehouse Basics

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Your question is Data Pipeline and Warehouse Basics. Take a moment with it on the right.

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Problem

What is data Pipeline, Data warehouse etc.

Explain the purpose of a data pipeline and data warehouse, then describe a practical ETL or ELT flow from source systems through ingestion, transformation, storage, and analytics. Cover batch processing, orchestration, data quality, schema evolution, retry behavior, and how you would distinguish a data lake from a warehouse. Use specific technologies where appropriate and explain the trade-offs behind your choices.