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)

Power BI

Power BI is a suite of tools that enables users to visualize data and share insights across teams and organizations, or embed dashboard analytics in their websites or applications. It supports different data sources (both structured and unstructured data types) and helps analysts and end users create live dashboards and reports about business data on-demand. An example of this is visualizing company sales for recent months and determining the city that sold the most items.

What makes Power BI different from spreadsheet software such as Microsoft Excel is that it is designed to be a hosted user interface, often a live dashboard, where users don't need to frequently store a file in their local machine and open it. With Power BI, you can leverage the power of the cloud to harness complex data and present it through rich graphs or charts, letting the server run all the computations rather than your own machine. Imagine a scenario where your data size was to grow from 500...