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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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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 other SQL options in Azure

In Chapter 2, Connecting Requirements and Technology, we talked about different size options for your modern data warehouse. When we look at the M size, we have added an Azure SQL database for the presentation layer. When we compare the Azure SQL database to Synapse Analytics databases, the main difference is the SMP character of the Azure SQL database. See also Figure 4.1 for a comparison of SMP versus MPP.

In a SQL database, data is, by default, stored in a row orientation as it is done in SQL Server. In general, you can think of the Azure SQL database as a single database that you would spin up and use. Almost all of the functionality of a SQL Server database is available with an Azure SQL database as well.

You will also have the option to create CCIs on your tables. This will give you high analytical performance on your data stored there. In comparison to Synapse Analytics, you won't get the same scale-out architecture with...

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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