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

NIA's CIO, Zara, with the help of the business intelligence team, agreed to use Microsoft Azure as the cloud provider to build the new solution. They summarized their reasoning as follows.

Why Azure for NIA?

  • NIA is already using Microsoft technologies such as Windows 10, Office 365, and other tools. Azure has better native integration with all these services than any other cloud provider. Thus, it makes perfect sense to use Azure. Furthermore, NIA is keen to take advantage of the Open Data Initiative (ODI), which enables organizations to deliver exceptional business insights by combining behavioral, transactional, financial, and operational data in a single data store. The initiative simplifies the creation of common data models across the organization and was developed jointly by Adobe, Microsoft, and SAP.
  • Using Azure means that NIA can keep using the same centralized identity server, which is managed using Azure Active Directory for Office 365. This...