March 2018
Beginner to intermediate
638 pages
16h 29m
English
For many organizations, the Power BI service is only a part of an existing and broader cloud-based data and analytics environment. For example, the organization may already be using the Azure Data Lake Store (ADLS), Azure SQL Database, or Azure SQL Data Warehouse cloud services to store and process data for reporting analysis. In other organizations, the adoption of the Power BI service as a primary BI and collaboration platform may be part of a larger migration from an on-premises BI environment to the cloud. As one example of this migration, existing extract-transform-load (ETL) packages executed via on-premises SQL Server Integration Services (SSIS) servers could be moved (lift and shift) to virtual ...
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