Cloud Analytics with Microsoft Azure: Transform your business with the power of analytics in Azure

✍ Scribed by Has Altaiar; Jack Lee; Michael Pena

• Publisher: Packt Publishing
• Year: 2021
• Tongue: English
• Edition: 2
• Category: Library

✦ Synopsis

Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure features

Key Features

Updated with the latest features and new additions to Microsoft Azure

Master the fundamentals of cloud analytics using Azure

Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights

Book Description

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.

What you will learn

Explore the concepts of modern data warehouses and data pipelines

Discover unique design considerations while applying a cloud analytics solution

Design an end-to-end analytics pipeline on the cloud

Differentiate between structured, semi-structured, and unstructured data

Choose a cloud-based service for your data analytics solutions

Use Azure services to ingest, store, and analyze data of any scale

Who this book is for

This book is designed to benefit software engineers, Azure developers, cloud consultants, and anyone who is keen to learn the process of deriving business insights from huge amounts of data using Azure.

Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book.

✦ Subjects

Computer Technology; Nonfiction; COM018000; COM021040; COM089000