Reader small image

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

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

Right arrow

Summary

This chapter was all about Synapse SQL pools. You have seen and examined the different options of loading data into a dedicated SQL pool.

After that, you learned about the serverless SQL pools of Synapse and the benefits that they can add to your modern data warehouse from the perspectives of usability and flexibility, but also from a cost point of view.

Finally, you examined the communication between Synapse Spark pools and the dedicated SQL pools, and the exchange of metadata between the different computes of Synapse workspaces.

In the next chapter, Chapter 11, Developing and Maintaining the Presentation Layer, you will examine the options to implement your presentation layer and present data optimally to downstream consuming tools and clients.

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
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