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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
Author (1):
Patrik Borosch Patrik Borosch
Profile icon 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

Security in your streaming solution

Secure access to sources and sinks in your solution is paramount. There are some considerations that you might want to go through when implementing a streaming solution with ASA.

Connecting to sources and sinks

If you examine the Integrating sources and Writing to sinks sections, you will find the authentication mode in the list of the connectors in almost every one except Event Hubs and IoT Hub, where you would use key and connection strings to connect.

Implementing authentication with either service users and passwords or managed identities will already create very secure access into your sources and sinks. Azure Active Directory implements a multitude of security measures to eliminate the possibility for attackers to break into your solution.

With the use of managed identities, you are implementing a service principal. This is a kind of Azure user that can only be used with Azure services. You can compare them to the on-premises service...

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