Cloud Analytics with Microsoft Azure: Transform your business with the power of analytics in Azure, Edition 2

Has Altaiar · Jack Lee · Michael John Peña

Jan 2021 · Packt Publishing Ltd

Ebook

184

Pages

Tools

About this ebook

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

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

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About the author

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 also a Microsoft Azure MVP and a regular organizer and speaker at local and international conferences, including Microsoft Ignite, NDC, and ServerlessDays. Hes also a board member of the Global AI Community. You can follow him on Twitter at hasaltaiar.

Jack Lee is a Microsoft MVP and an Azure Certified Solutions Architect 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, among them 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 has authored numerous books published by Packt, notably Azure for Architects, Azure Strategy and Implementation Guide, and Cloud Analytics with Microsoft Azure. In addition, he has earned multiple certifications including Microsoft Azure Solutions Architect Expert and Microsoft DevOps Engineer Expert.

Michael John Peña, an engineer and Microsoft MVP, excels in tech innovation and leadership. As a data partner at Playtime Solutions, he spearheads projects utilizing Azure, big data, and AI, enhancing data-driven decision-making. With roles ranging from CTO to software engineer, MJ's expertise covers web/app development, cloud computing, blockchain, and IoT. His commitment to lifelong learning and sharing knowledge—underscored by his work with start-ups and as a technical advisor—drives industry advancements in finance, construction, and more. MJ values inclusivity and actively fosters diverse, collaborative environments.

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