Book Image

Cloud Scale Analytics with Azure Data Services

By : Patrik Borosch
Book Image

Cloud Scale Analytics with Azure Data Services

By: Patrik Borosch

Overview of this book

Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality. This book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs. By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs.
Table of Contents (20 chapters)
1
Section 1: Data Warehousing and Considerations Regarding Cloud Computing
4
Section 2: The Storage Layer
7
Section 3: Cloud-Scale Data Integration and Data Transformation
14
Section 4: Data Presentation, Dashboarding, and Distribution

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...