Data Warehouse

  1. Introduction to Data Warehousing

    • What is a Data Warehouse?

    • Importance and benefits of Data Warehousing

  2. Data Warehousing Concepts

    • Understanding facts and dimensions

    • Star schema and Snowflake schema

    • OLAP vs OLTP

  3. Data Warehousing Architecture

    • Different layers in a Data Warehouse (Staging, Integration, Access)

    • Data Marts

  4. ETL Process

    • Understanding the Extract, Transform, Load process

    • ETL tools in the market

  5. Data Modeling

    • Conceptual, Logical, and Physical data models

    • Normalization and Denormalization

  6. Data Warehouse Design

    • Designing a Data Warehouse

    • Handling slowly changing dimensions

  7. SQL for Data Warehousing

    • Writing complex SQL queries

    • Window functions, nested queries, and joins

  8. Data Warehousing Solutions

    • On-premise vs cloud-based Data Warehouses

    • Overview of popular Data Warehousing solutions (e.g., Redshift, BigQuery)

  9. Data Security and Governance

    • Ensuring data privacy and security

    • Data governance best practices

  10. Performance Tuning

    • Indexing

    • Partitioning

    • Query optimization

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