Has Altaiar, Jack Lee, Michael Peña. — Packt Publishing Ltd., 2019. — 206 p. — ISBN: 978-1-83921-640-4.
Leverage the power of Azure to get efficient data insights from your big data in real timeWith 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.
LearnExplore the concepts of modern data warehouses and data pipelines
Discover different 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