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Cloud Scale Analytics with Azure Data Services

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

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781800562936
Pages 520 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Patrik Borosch Patrik Borosch
Profile icon Patrik Borosch
LinkedIn
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.
See other products by Patrik Borosch

Table of Contents (20) Chapters

Preface Section 1: Data Warehousing and Considerations Regarding Cloud Computing
Chapter 1: Balancing the Benefits of Data Lakes Over Data Warehouses Chapter 2: Connecting Requirements and Technology Section 2: The Storage Layer
Chapter 3: Understanding the Data Lake Storage Layer Chapter 4: Understanding Synapse SQL Pools and SQL Options Section 3: Cloud-Scale Data Integration and Data Transformation
Chapter 5: Integrating Data into Your Modern Data Warehouse Chapter 6: Using Synapse Spark Pools Chapter 7: Using Databricks Spark Clusters Chapter 8: Streaming Data into Your MDWH Chapter 9: Integrating Azure Cognitive Services and Machine Learning Chapter 10: Loading the Presentation Layer Section 4: Data Presentation, Dashboarding, and Distribution
Chapter 11: Developing and Maintaining the Presentation Layer Chapter 12: Distributing Data Chapter 13: Introducing Industry Data Models Chapter 14: Establishing Data Governance Other Books You May Enjoy

Understanding integration runtimes

IRs are responsible for all the compute jobs in Synapse pipelines or Azure Data Factory. When it comes to data movement as well as running the data flow activities (refer to the preceding Understanding mapping flows and Understanding wrangling flows sections), additionally, the IRs invoke activities and take care that they are run on their respective compute environments. Running SQL Server Integration Services (SSIS) packages is another responsibility that IRs handle.

There are different types of IRs available in Synapse pipelines/Azure Data Factory:

  • Azure IR: This will take care of data movement activities such as data copy, control all activity runs, and run data flows (mapping and wrangling flows).
  • Self-hosted IR: This must be installed in any on-premises network to "see" data sources that are loaded from on-premises to the cloud. They act as a data gateway and are responsible for the data movement from on-premises to...
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Authors (1)

Profile icon Patrik Borosch
LinkedIn
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
See other products by Patrik Borosch

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