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

Implementation of an Azure Stream Analytics job using the Azure portal

Azure Stream Analytics is a fully managed complex event processing real-time data analytics computation engine that works on a continuous stream of data. On the job architecture level, it consists of event source (Input), sink (Output), and real-time job queries for transformation. The Stream Analytics job in Azure can also be created using the Azure portal (

  1. To get started with provisioning an Azure Stream Analytics job from the portal, select New and, under Azure Marketplace, choose either the Data + Analytics or Internet of Things option, and then click on Stream Analytics job:
  1. Define the job name and choose the appropriate Azure subscription. Then create a new Azure Resource group or choose an existing resource groupset. Azure Resource group is a logical unit container that consists of multiple Azure-managed services together under the same resource manager.
  2. Finally, provide the Location,...