MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Duration: 2h 7m
Skill Level: Intermediate | Genre: eLearning | Language: English + Subtitles | Size: 287 MB
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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