Implementing a Data Warehouse SQL Server 2019

Implementing a Data Warehouse SQL Server 2019 Free Download

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.

Topics include:

  • Transactional databases vs. data warehouses
  • Star and snowflake schemas
  • Creating a data warehouse
  • Designing tables and views
  • Rebuilding columnstore indexes
  • Creating an Azure SQL Data Warehouse
  • Establishing control flow beyond ETL
  • Enforcing data quality
  • Configuring Master Data Services
  • Consuming data from the warehouse in BI services


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