Data Warehouse is a collection of software tool that help analyze large volumes of disparate data. The goal is to derive profitable insights from the data. This eBook covers advance topics like Data Marts, Data Lakes, Schemas amongst others.

Key Highlights of Data Warehouse PDF are

  • 221+ pages
  • eBook Designed for beginners
  • Beautifully annotated screenshots
  • You will get lifetime access

Inside this PDF

  1. What Is Data Warehousing? Types, Definition & Example
  2. Database vs Data Warehouse: Key Differences
  3. Data Warehouse Architecture, Concepts and Components
  4. ETL (Extract, Transform, and Load) Process
  5. ETL vs ELT: Must Know Differences
  6. What is Data Modelling? Conceptual, Logical, & Physical Data Models
  7. What is OLAP (Online Analytical Processing): Cube, Operations & Types
  8. What is MOLAP? Architecture, Advantages, Example, Tools
  9. OLTP vs OLAP: What's the Difference?
  10. What is Dimensional Model in Data Warehouse?
  11. Star and SnowFlake Schema in Data Warehousing
  12. Data Mart Tutorial: What is Data Mart, Types & Example
  13. Data Warehouse vs Data Mart: Know the Difference
  14. What is Data Lake? It's Architecture
  15. Data Lake vs Data Warehouse: What's the Difference?
  16. What is Business Intelligence? Definition & Example
  17. Data Mining Tutorial: Process, Techniques, Tools, EXAMPLES
  18. DataStage Tutorial: Beginner's Training
  19. Difference between Data Mining and Data Warehouse
  20. Difference Between Fact Table and Dimension Table
  21. Difference between Information and Data
  22. Teradata Tutorial: Learn Basics for Beginners

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