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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 3: Understanding the Data Lake Storage Layer

One of the components in our modern data warehouse Architecture that spans over all the processing steps, and is available to all the participating services, is our Data Lake Storage Layer.

It will serve as our landing zone, the transient storage while we're transforming and cleaning our data, and a source for queries for the analytical components. Users will establish their sandboxes, processes will store their logs here, and Data Scientists will use it as their main playground, together with their tools.

In this chapter, you will learn how to set up Azure Data Lake Gen2 Storage, and also find suggestions about how to organize it so that you can flexibly react to any challenge. You will learn how to access data in Data Lake Storage, and you will look at some approaches for how to monitor your Storage Account. We will discuss options for backup and disaster recovery (DR) and examine the security and networking options...

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