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)

Azure services

As in the first use case, the following sections will elaborate on each of the Azure services that are shown in Figure 4.6. They will first explain why each service is needed, why it is suitable for NIA, and then, finally, show a brief practical example of the core part of its implementation. To avoid repetition, the Azure services that are covered in first use case are skipped unless NIA has specific requirements for that service.

Azure Synapse Analytics

Role in the design

Azure Synapse serves as the unified platform for big data analytics as well as data warehousing. Azure Synapse is needed to provide the compute power needed to process data and to foster greater collaboration between the many stakeholders.

Why Azure Synapse?

Besides all the advantages of Azure Synapse that were covered in Use case 1, Azure Synapse supports multiple languages, machine learning frameworks (such as TensorFlow and PyTorch), and integrates with many open source tools. NIA...