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.
- 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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