Cloud Analytics with Microsoft Azure - Build modern data warehouses with the combined power of analytics and Azure
Jack Lee, Has Altaiar, Michael Peña
Publisher: Packt Publishing
Summary
Leverage the power of Azure to get efficient data insights from your big data in real timeKey FeaturesExplore the basics of cloud analytics using AzureDiscover different ways to process and visualize your data easilyLearn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insightsBook Description With data being generated at an exponential speed, organizations all over the world are migrating their infrastructure to the cloud. Application management becomes much easier when you use a cloud platform to build, manage, and deploy your services and applications. Cloud Analytics with Microsoft Azure covers all that you need to extract useful insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You’ll also delve into data analytics by studying use cases that focus on creating actionable insights from near-real-time data. As you advance, you’ll 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'll have developed a solid understanding of data analytics with Azure and its practical implementation.What you will learnExplore the concepts of modern data warehouses and data pipelinesDiscover different design considerations while applying a cloud analytics solutionDesign an end-to-end analytics pipeline on the cloudDifferentiate between structured, semi-structured, and unstructured dataChoose a cloud-based service for your data analytics solutionsUse Azure services to ingest, store and analyze data of any scaleWho this book is for If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations that you must keep in mind. 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.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. 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 has been recognized as a Microsoft MVP for his contributions to the tech community. You can follow Jack on Twitter at @jlee_consulting. Michael Peña 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 the 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 @mjtpena.
Available since: 11/26/2019.
Print length: 242 pages.
