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

Handling security

When you access the data lake storage that was configured during the setting up of the Synapse workspace, you don't need to worry about using the TokenLibrary. The Spark instance will use an Azure Active Directory credential pass-through to access the data in the data lake. This makes it easy for you to integrate your environment and set up detailed control as described in Chapter 3, Understanding the Data Lake Storage Layer. You have been using this throughout this chapter to access your data lake:

Figure 6.20 – Security setup with credential pass-through

There are other options when it comes to accessing Azure Data Lake Storage Gen2. You might have additional Azure Data Lake Storage Gen2 accounts that you have added as linked services to your Synapse workspace. In this case, you have several authentication options when it comes to using the storage:

  • If a linked service uses a storage account key, you will need to create...