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

Chapter 2: Connecting Requirements and Technology

When you examine what cloud vendors are offering to form an analytical data estate, there is an abundance of options. Many data architects are investing a lot of time in carving out the right technology and the right tools to build on. This chapter will focus on the reference architecture of the modern data warehouse and introduce the suitable Microsoft Azure services with a short description, as well as the information you will need to select the right service to reach your goal.

In this chapter, we will cover the following topics:

  • Formulating your requirements
  • Understanding basic architecture patterns
  • Finding the right Azure tool for the right purpose
  • Understanding industry data models
  • Defining T-shirt sizes
  • Understanding the supporting services