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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

Chapter 5: Integrating Data into Your Modern Data Warehouse

Extracting data from source systems and incorporating it into your modern data warehouse is one of the most important pieces of the foundation that you will create in relation to your analytical data estate.

The sheer number of possible different source formats can leave you scratching your head when you are confronted with the requirements of your users and how quickly they require their analyses and reports.

In this chapter, you will learn how to implement ETL/ELT (Extract, Transform, Load/Extract, Load, Transform) pipelines with Synapse pipelines or alternatively using Azure Data Factory. This depends on your choice of services and whether you are using the integrated Synapse experience or you only need a standalone integration service.

You will examine the different source connectors and learn how to orchestrate your integration jobs. The data flows in Synapse pipelines/Azure Data Factory will extend your toolset...

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