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 10. Understanding Stream Analytics Job Monitoring

When it comes to streaming data analytics, achieving shorter action times and insights is extremely important. A few minutes of service downtime can be extremely expensive for mission-critical applications and can impact on your business. In scenarios where you may have less than a second to identify and stop a fraudulent credit card transaction before it goes through, raise an alert based on a health event from a device monitoring the vitals of a patient, or halt an overheated engine before it results in major damage, service availability and uptime are of the highest importance. Hence, in comparison to the traditional world of batch analytics, you may not have the luxury of time to troubleshoot issues or perform root cause analysis when something goes wrong, or an unexpected event happens.

With that said, let's explore some of the key monitoring and diagnosis features provided by Azure, and understand how they can save you a ton...