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Hands-On Data Warehousing with Azure Data Factory
book

Hands-On Data Warehousing with Azure Data Factory

by Christian Cote, Michelle Gutzait, Giuseppe Ciaburro
May 2018
Beginner to intermediate
284 pages
5h 51m
English
Packt Publishing
Content preview from Hands-On Data Warehousing with Azure Data Factory

Team BI – sharing personal BI data

Self-service BI works well if users only explore data and use it on their local PC. When they want to share their discoveries, they need a portal for it. This is where the Power BI service enters the scene. Users publish their Power BI models on the cloud and they can schedule data refresh if the data is available on the cloud. For imported data, there's a limit on the size of the model that can be published on the cloud. Currently, this limit is set to 1 gigabyte of compressed data. Power BI models try to compress the data by column to enhance query performance.

For on-premise data sources, data management gateways must be used. These gateways are like the self-hosted integration runtimes we used in previous ...

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Publisher Resources

ISBN: 9781789137620