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)

Summary

In this chapter, we discussed how Azure Synapse Analytics can serve a unified data model to Power BI. We then explored the use of Power BI Desktop to create reports. Power BI enables you to create rich and meaningful graphs that derive business insights. We then published a report in order to collaborate on it across different media.

We have also learned that there are many available tools and technologies to implement machine learning and artificial intelligence in Azure. We explored Azure Machine Learning, including its features and benefits, and performed machine learning on Azure to create a model that classifies animals. In the next chapter, we will explore different business use cases for Azure Synapse Analytics and related technologies.