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Data Warehousing

Topic: Data Warehouse

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Data Warehouse Concepts

Central repository for analytical data.

Architecture

Source systems → ETL → Staging → Warehouse → Data Marts. Kimball vs Inmon methodologies.

Star schema: fact table + dimension tables. Snowflake: normalized dimensions.

Technologies

Snowflake, BigQuery, Redshift: cloud data warehouses. Columnar storage for analytics. Massive parallelism.

ETL vs ELT

ETL: transform before load. ELT: load raw, transform in warehouse. Modern prefers ELT.

Key Takeaways

  1. Data warehouse centralizes analytical data
  2. Star schema common for analytics
  3. Cloud warehouses provide scalability

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