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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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Summary

In this chapter, you have seen how to provision a Synapse Spark pool. You have learned about Spark's architecture in general and Synapse Spark's architecture.

You have learned about the difference between Synapse Spark pools and Synapse Spark instances. You implemented your first Synapse notebook for interactive analytics and learned how to implement a Spark application that can be run as a batch job.

You have seen how to use a Spark pool from an IDE such as Visual Studio Code and you have investigated how to use additional libraries from public sources and your own libraries.

Finally, you saw how you can interact with storage securely, before learning how monitoring works with your Synapse Spark environment.

In Chapter 7, Using Databricks Spark Clusters, you will learn about an alternative Spark environment that Microsoft offers on Azure.

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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