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

Setting up Azure Data Factory

If you only need a standalone data integration service, then this is the service of choice for you (see the following Note box). Setting up an Azure Data Factory service is as straightforward as you would expect. Like the other services that we set up in Chapter 3, Understanding the Data Lake Storage Layer, and the Synapse Analytics database in Chapter 4, Understanding Synapse Pools and SQL Options, there are some more or less easy-to-fill-in dialog blades in your Azure portal to go through in order to create a new instance of the service.

Note

If you are using Synapse Analytics, you can skip this section completely as Synapse pipelines will already be available for you in the Synapse workspace. Please see the Further reading section, Synapse pipelines and Data Factory differences, for a link to a feature comparison of the two.

Creating the Data Factory service

Please proceed to your Azure portal (https://portal.azure.com) and click on Create...