Book Image

Cloud Analytics with Microsoft Azure - Second Edition

By : Has Altaiar, Jack Lee, Michael Peña
Book Image

Cloud Analytics with Microsoft Azure - Second Edition

By: Has Altaiar, Jack Lee, Michael Peña

Overview of this book

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.
Table of Contents (7 chapters)

Conclusion

You have seen how Coolies (or any other organization) can take advantage of Microsoft Azure to discover customer insights and add value in near real-time. Microsoft Azure offers a wide range of services for data management and analytics and aims to streamline the development process, while at the same time raising the bar for quality and performance.

Furthermore, Microsoft Azure offers many data and analytics services as fully managed offerings, which means less overhead for Coolies (and any other organization). The other advantage of using serverless Azure is that organizations and teams can start small with no major investment and scale up as demand grows. This is a great business approach as it reduces the risks of upfront investment, while at the same time mitigating the burden of bureaucratic approval for large expenditure at the start of a data project.

Finally, Microsoft Azure provides a great deal of documentation and learning materials online and aims to break...