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)

4. Business use cases

In the previous chapters, you learned about cloud-scale analytics and the services Microsoft Azure offers to empower businesses to discover insights. You were also introduced to the new features and functionalities added to the modern data warehouse. In this chapter, you will look at two real-world business use cases to demonstrate high-level solutions using Microsoft Azure. The aim of these use cases is to illustrate how real-time data can be analyzed in Azure to derive meaningful insights and make business decisions.

The company names used here are fictitious, and for the implementation demos, we use sample datasets. However, the business use cases, the challenges, and the actual problems are real. They illustrate the kinds of data problems you may encounter in your everyday life.

The first business case focuses on helping a company gain actionable insights from its data in near real-time. The second one talks about using data analytics on Azure...