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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

Implementing access control in your Data Lake

Azure storage accounts implement different ways to control access to content that is stored there:

  • RBAC
  • ACLs
  • Shared Key authorization
  • Shared Access Signature (SAS) authorization

Understanding RBAC

To give access to a user, group, service principal, or a managed identity using RBAC, the user or the application needs to be managed by Azure Active Directory (AAD). Implementing RBAC will use a so-called permission set that is put together as a role that a security principal can be assigned to.

When RBAC is assigned to Data Lake Storage, this will always be at the top level of the account or the filesystem. This means that the user or the application will have access to everything that is stored in the account or in the container that access has been granted to.

The following roles can be used to grant access to data in a data lake:

  • Storage Blob Data Owner: This role will give you unlimited access...
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