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Cloud Scale Analytics with Azure Data Services

Cloud Scale Analytics with Azure Data Services

By : Borosch
4.9 (7)
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Cloud Scale Analytics with Azure Data Services

Cloud Scale Analytics with Azure Data Services

4.9 (7)
By: 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)
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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

Chapter 4: Understanding Synapse SQL Pools and SQL Options

In this chapter, you will learn what Massively Parallel Processing (MPP) means in terms of a cloud PaaS database service. You will examine the concepts of distributing and replicating data in a database. Furthermore, you will see how to manage the workload in this database to your benefit by avoiding early scaling and leveraging all the performance capabilities of the service. Partitioning will extend your options when it comes to massive amounts of data when you need to grow from terabytes to petabytes. You will also learn how to load data efficiently into your database service.

Finally, we will have a look at the next evolutionary steps of the SQL pools in Azure Synapse and other SQL components, such as SQL on-demand compute.

At the end, we will compare other SQL database services and their options in Azure and how they may fit into your architecture.

You will find the following sections covered in this chapter...

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