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You're reading from  Cloud Scale Analytics with Azure Data Services

Product typeBook
Published inJul 2021
PublisherPackt
ISBN-139781800562936
Edition1st Edition
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Author (1)
Patrik Borosch
Patrik Borosch
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Patrik Borosch

Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
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Understanding Common Data Model

In its initial version, CDM provided predefined entities and their data types in a standardized notation. In the second generation, Microsoft extended it to be able to reflect complex semantic contexts such as relationships.

CDM is not just targeted at analytical use cases. You can use its predefined entities, language elements, rules, and structures in any application.

If you examine services such as Azure Data Factory/Synapse pipelines, for example, or the Modern Workplace power suite with apps such as Power Apps, Flow, and Power BI, you will find connectors that will be able to use the models that you define with CDM.

CDM is reflected in a collection of JSON documents (*.cdm.json) that follow a certain schema that can be seen as the language of CDM. Let's dive into its elements.

Examining the basics of the SDK

The top-level container that collects all artifacts of a CDM construct is called the corpus. It provides path definitions...

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Cloud Scale Analytics with Azure Data Services
Published in: Jul 2021Publisher: PacktISBN-13: 9781800562936

Author (1)

author image
Patrik Borosch

Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
Read more about Patrik Borosch