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

Defining a Stream Analytics query for Vehicle Telemetry job analysis using Stream Analytics tools

To assign the streaming analytics query definition, the Script.asasql file from the ASA project should be selected by specifying the data and reference stream input joining operation along with supplying analyzed output to Blob storage as configured in job properties.

Query to define Vehicle Telemetry (Connected Car) engine health status and pollution index over cities

For connected car and real-time predictive Vehicle Telemetry Analysis, there's a necessity to specify opportunities for new solutions in terms of how a car could be shipped globally with the required smart hardware to connect to the internet within the next few years. How the embedded connections could define Vehicle Telemetry predictive health status so automotive companies will be able to collect data on the performance of cars, to send interactive updates and patches to car's instrumentation remotely, and just to avoid car equipment...