Book Image

Stream Analytics with Microsoft Azure

By : Murphy, Singh
Book Image

Stream Analytics with Microsoft Azure

By: Murphy, 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 (12 chapters)

Summary

Following is a quick summary of topics we covered in this chapter. We reviewed what is Azure Stream Analytics, understood its key advantages in terms of developer productivity, ease of development and how to reduces total cost of ownership, global compliance certifications, the value of the PaaS based streaming solution to host mission-critical applications and briefly reviewed security.  

Now that we have a basic understanding of Azure Stream Analytics in the next chapter we will explore how to start building a Streaming pipeline, look into deployment, logging and monitoring, and finally review sample use cases to consolidate our learnings.