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)

3. Processing and visualizing data

In the previous chapters, you were introduced to Azure Synapse Analytics and Synapse Studio. Azure Synapse Analytics offers a lot of features that are flexible and highly scalable. Some of the extensibility features of Azure Synapse Analytics are the ability to use the modern data warehouse approach to serve meaningful reports and a data source for machine learning.

There are many ways to process and visualize data using Azure and the wider set of tools offered by Microsoft. This book will focus on using Power BI as a tool to create reports and dashboards. Power BI offers a wide range of products and services. This chapter will take a look at using Power BI Desktop on Windows to create meaningful dashboards as well as using Power BI workspaces to host and share published reports.

This book will also give you an introduction to the artificial intelligence and machine learning ecosystem within Azure and Microsoft. We will tackle a specific...