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

Chapter 4. Developing Real-Time Event Processing with Azure Streaming

In this chapter, we will explore end-to-end development concepts with guidance related to Azure Stream Analytics job implementation, introducing various development tools to build streaming jobs on the cloud, provisioning through the Azure portal, and utilization techniques of Azure Resource Management (ARM) templates to work with Stream Analytics jobs in a real-world scenario.

The following points of discussion in this chapter are as follows:

  • Step-by-step implementation guidance for a real-world streaming job on Azure using Streaming Analytics tools for Visual Studio
  • The provisioning details of a Stream Analytics job using the Azure portal
  • Development illustrations related to a streaming job using the Azure Resource Manager template
  • Introduction to various input data sources and output sink connectors for Azure Stream Analytics