Data Warehousing with Azure: Architecture & Modeling Techniques

Azure 2018
  • 15 Videos | 1h 18m 11s
  • Includes Assessment
  • Earns a Badge
Likes 20
Explore the fundamentals of data warehousing and the essential architectures and components being implemented to manage data.

WHAT YOU WILL LEARN

  • identify the essential characteristics of data warehouse and compare data warehouse with operational databases
    list the various possible data warehousing architectures that can be implemented
    recall the various essential data warehousing alternatives that are available today apart from Azure
    depict the evolution of data warehouse and illustrate the first generation and second generation data warehouse
    illustrate the various types of data warehouse that are being implemented by various businesses
    list the critical features of the federated data warehouse, compare federated data warehouse with the centralized approach, and list advantages and disadvantages of this approach and implementation scenarios
    identify the critical advantages and disadvantages associated with the star schema and data mart approaches of implementing data warehouse
    define the essential lifecycle phases of data warehousing implementation and data movement
  • illustrate the essential concepts of metadata, types of metadata, and its roles in data warehouse implementation
    compare the essential approaches of processing, integrating, and managing structured and unstructured data
    compare the essential approaches of processing, integrating, and managing structured and unstructured data with real time examples
    specify the critical analytical and reporting mechanisms that are implemented in data warehouse
    define the benefits of implementing cloud data warehouse and compare cloud data warehouse with on-prem implementation
    describe the benefits and how to implement Hybrid architectures using on-premise capabilities
    define the critical features, characteristics, and advantages of implementing Federated and Hybrid data warehouse

IN THIS COURSE

  • Playable
    1. 
    Data Warehouse Features
    5m 26s
    UP NEXT
  • Playable
    2. 
    Data Warehouse Architectures
    5m 56s
  • Locked
    3. 
    Data Warehouse Alternatives
    4m 28s
  • Locked
    4. 
    Data Warehouse Generation
    5m 30s
  • Locked
    5. 
    Variations of Data Warehouse
    9m 24s
  • Locked
    6. 
    Federated Data Warehouse Features
    4m 21s
  • Locked
    7. 
    Star Schema and Data Mart Approach
    6m 12s
  • Locked
    8. 
    Data Warehouse Lifecycle Phases
    3m 44s
  • Locked
    9. 
    Metadata Concepts in Data Warehouse
    3m 58s
  • Locked
    10. 
    Structured and Unstructured Data
    6m 42s
  • Locked
    11. 
    Structured and Unstructured Data - Examples
    2m 33s
  • Locked
    12. 
    Analytics and Reporting Approach
    5m 36s
  • Locked
    13. 
    Cloud Data Warehouse
    4m 48s
  • Locked
    14. 
    Hybrid Data Warehouse Architecture
    4m 28s
  • Locked
    15. 
    Exercise: Implementing Data Warehouse Features
    5m 7s

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