Book Image

Stream Analytics with Microsoft Azure

By : Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh
Book Image

Stream Analytics with Microsoft Azure

By: Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh

Overview of this book

Microsoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering, Stream Analytics, allows you to process and get actionable insights from different kinds of data in real-time. This book is your guide to understanding the basics of how Azure Stream Analytics works, and building your own analytics solution using its capabilities. You will start with understanding what Stream Analytics is, and why it is a popular choice for getting real-time insights from data. Then, you will be introduced to Azure Stream Analytics, and see how you can use the tools and functions in Azure to develop your own Streaming Analytics. Over the course of the book, you will be given comparative analytic guidance on using Azure Streaming with other Microsoft Data Platform resources such as Big Data Lambda Architecture integration for real time data analysis and differences of scenarios for architecture designing with Azure HDInsight Hadoop clusters with Storm or Stream Analytics. The book also shows you how you can manage, monitor, and scale your solution for optimal performance. By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data.
Table of Contents (18 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback

Introduction to Azure Stream Analytics

Microsoft Azure Stream Analytics falls into the category of PaaS services where the customers don't need to manage the underlying infrastructure. However, they are still responsible and manage an application that builds on the top of PaaS service and more importantly the customer data.

Azure Stream Analytics is a fully managed server-less PaaS service that is built for real-time analytics computations on streaming data. The service can consume from a multitude of sources. Azure will take care of the hosting, scaling, and management of the underlying hardware and software ecosystem. The following are some of the examples of different use cases for Azure Stream Analytics.

When we are designing the solution that involves streaming data, in almost every case, Azure Stream Analytics will be part of a larger solution that the customer was trying to deploy. This can be real-time dashboarding for monitoring purposes or real-time monitoring of IT infrastructure...