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

Airports have complex operations and procedures, and they run around the clock. Thus, even making small improvements can provide great savings to the airport and can improve safety and customer satisfaction.

In the previous few pages, you have considered a practical example of a large airport. Although the names are fictitious, many of the numbers discussed here are based on an actual use case that the author was involved in. You have seen how advanced analytics can be used to improve efficiency and save an organization millions of dollars. Data can be used not only to help airports save on their operational costs, but also to create a competitive advantage.

You have also looked at how a data-driven solution can be implemented using Azure and why Azure is the perfect platform for running such workloads. Azure is affordable, secure, and provides organizations with the ability to be agile and scalable.