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Cloud Scale Analytics with Azure Data Services

You're reading from   Cloud Scale Analytics with Azure Data Services Build modern data warehouses on Microsoft Azure

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800562936
Length 520 pages
Edition 1st Edition
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Author (1):
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Patrik Borosch Patrik Borosch
Author Profile Icon Patrik Borosch
Patrik Borosch
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Data Warehousing and Considerations Regarding Cloud Computing
2. Chapter 1: Balancing the Benefits of Data Lakes Over Data Warehouses FREE CHAPTER 3. Chapter 2: Connecting Requirements and Technology 4. Section 2: The Storage Layer
5. Chapter 3: Understanding the Data Lake Storage Layer 6. Chapter 4: Understanding Synapse SQL Pools and SQL Options 7. Section 3: Cloud-Scale Data Integration and Data Transformation
8. Chapter 5: Integrating Data into Your Modern Data Warehouse 9. Chapter 6: Using Synapse Spark Pools 10. Chapter 7: Using Databricks Spark Clusters 11. Chapter 8: Streaming Data into Your MDWH 12. Chapter 9: Integrating Azure Cognitive Services and Machine Learning 13. Chapter 10: Loading the Presentation Layer 14. Section 4: Data Presentation, Dashboarding, and Distribution
15. Chapter 11: Developing and Maintaining the Presentation Layer 16. Chapter 12: Distributing Data 17. Chapter 13: Introducing Industry Data Models 18. Chapter 14: Establishing Data Governance 19. 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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