Book Image

Cloud Analytics with Microsoft Azure - Second Edition

By : Has Altaiar, Jack Lee, Michael Peña
Book Image

Cloud Analytics with Microsoft Azure - Second Edition

By: Has Altaiar, Jack Lee, Michael Peña

Overview of this book

Cloud Analytics with Microsoft Azure serves as a comprehensive guide for big data analysis and processing using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data. The book begins by introducing you to the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You will learn about cloud-scale analytics and the services Microsoft Azure offers to empower businesses to discover insights. You will also be introduced to the new features and functionalities added to the modern data warehouse. Finally, you will look at two real-world business use cases to demonstrate high-level solutions using Microsoft Azure. The aim of these use cases will be to illustrate how real-time data can be analyzed in Azure to derive meaningful insights and make business decisions. You will learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By the end of this book, you will be proficient in analyzing large amounts of data with Azure and using it effectively to benefit your organization.
Table of Contents (7 chapters)

The solution

The Coolies data team decided to use Microsoft Azure to implement Coolies' analytics solution. Among other things, the Coolies team listed Azure's scalability, compliance, and regional availability in Coolies' regions (Australia and Japan) as the main factors in making this decision. The team also articulated the reasons why each of the chosen Azure services is fit for purpose, as we will see in the next few sections.

Coolies used the refined requirements and brainstorming ideas (from the previous sections) to come up with a design for the solution architecture. The Coolies data team has come up with the following architecture (as shown in Figure 4.1):

Coolies' solution architecture

Figure 4.1: Coolies' solution architecture

Data flow

The design in Figure 4.1 shows the solution architecture and the data flow between the individual components. Here, we explain each of the workflow segments as marked (numbered) in the preceding diagram:

  1. Coolies...