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

Visual monitoring of job diagram

Job metrics have been around for a while and provide a bunch of metrics for errors, inputs, outputs, and resource utilization. Job diagram takes it to the next level and provides advanced job monitoring capabilities, allowing you to monitor and troubleshoot your job in a more visual manner. A Stream Analytics job is broken down into logical constructs based on the job definition and the query steps, and a visual representation of steps is provided in terms of inputs, outputs, and individual query steps. You can hover over and click on each step for more information and also get the code associated with the specific step. The diagram also provides a timeline of events with information, such as the number of input events coming in, the total number of events going out, and so on, plotted on the timeline chart.

The central theme behind job diagrams is that in case of an issue, a visual representation of job steps can help speed up isolation of the issue to a...