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    3. Implementing a Data Warehouse SQL Server 2019 [Updated: 3/20/2025]

    Implementing a Data Warehouse SQL Server 2019 [Updated: 3/20/2025]

    Posted By: IrGens
    Date: 20 Mar 2025 19:09:24
    Implementing a Data Warehouse SQL Server 2019 [Updated: 3/20/2025]

    Implementing a Data Warehouse SQL Server 2019 [Updated: 3/20/2025]
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 7m | 287 MB
    Instructor: Adam Wilbert

    Dimensional models like data warehouses can provide a more accessible and consistent form of data storage than relational databases. You can consolidate data from multiple sources into a single repository for business intelligence, analysis, and reporting.

    This course explains how to create a long-term data storage solution using local SQL Server instances and Azure SQL Data Warehouse. Instructor Adam Wilbert shows how to build a data warehouse from the ground up, starting with the tables and views; establish control flow; enforce data quality; and use your data in services such as SQL Server Reporting Services and Power BI. By the end of the course, you will be able to implement a robust, custom solution to serve all your organization’s business intelligence, reporting, and analysis needs.

    Learning objectives

    • Learn about transactional databases vs. data warehouses.
    • Learn star and snowflake schemas.
    • Create a data warehouse.
    • Design tables and views.
    • Rebuild columnstore indexes.
    • Create an Azure SQL Data Warehouse.
    • Establish control flow beyond ETL.
    • Enforce data quality.
    • Configure Master Data Services.
    • Consume data from the warehouse in BI services.

    More Info

    Implementing a Data Warehouse SQL Server 2019 [Updated: 3/20/2025]
    UPWARDS