Cloud Analytics with Microsoft Azure, Second Edition
Transform your business with the power of analytics in Azure
Has Altaiar, Jack Lee, and Michael Pea
Cloud Analytics with Microsoft Azure, Second Edition
Copyright 2021 Packt Publishing
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Authors: Has Altaiar, Jack Lee, and Michael Pea
Technical Reviewer: Aaditya Pokkunuri
Managing Editors: Aditya Datar and Neha Pande
Acquisitions Editor: Ben Renow-Clarke
Production Editor: Deepak Chavan
Editorial Board: Vishal Bodwani, Ben Renow-Clarke, Arijit Sarkar, Dominic Shakeshaft, and Lucy Wan
First Published: October 2019
Production Reference: 2270121
ISBN: 978-1-80020-243-6
Published by Packt Publishing Ltd.
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Birmingham B3 2PB, UK
Preface
About
This section briefly introduces the authors and reviewer, the coverage of this book, the technical skills you'll need to get started, and the hardware and software requirements needed to complete all of the activities and exercises.
About Cloud Analytics with Microsoft Azure, Second Edition
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.
About the authors
Has Altaiar is a software engineer at heart and a consultant by trade. Has lives in Melbourne, Australia, and is the Executive Director at vNext Solutions. His work focuses on data, IoT, and AI on Microsoft Azure, and two of his latest IoT projects won multiple awards. Has is a Microsoft Azure MVP and a regular organizer and speaker at local and international conferences, including Microsoft Ignite, NDC, and ServerlessDays. He's also a board member of the Global AI Community. You can follow him on Twitter at @hasaltaiar.
Jack Lee is a senior Azure certified consultant and an Azure practice lead with a passion for software development, cloud, and DevOps innovations. He is an active Microsoft tech community contributor and has presented at various user groups and conferences, including the Global Azure Bootcamp at Microsoft Canada. Jack is an experienced mentor and judge at hackathons and is also the president of a user group that focuses on Azure, DevOps, and software development. He is the co-author of Azure for Architects and Cloud Analytics with Microsoft Azure, published by Packt Publishing. He has been recognized as a Microsoft MVP for his contributions to the tech community. You can follow Jack on Twitter at @jlee_consulting.
Michael Pea is an experienced technical consultant based in Sydney, Australia. He is a Microsoft MVP and a certified professional with over 10 years of experience in data, mobile, cloud, web, and DevOps. Throughout these years, he wore various hats but considered himself a developer at heart. He is also an international speaker, having spoken at numerous events, including Microsoft Ignite, NDC, DDD, Cross-Platform Summit, and various in-person and virtual meet-ups. Michael has interned with Microsoft and is also a Microsoft student partner alumnus. You can follow him on Twitter at