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 9. Optimizing Intelligence in Azure Streaming

In modern Cloud Data Analytics Architecture, there is a need for the optimization of platform solution designs with the highest level of intelligence through smart machine learning algorithms, building predictive models using advanced DevOps functions with conceptualizing, wrangling, and modelling, and finally implementation of an advanced real-time data streaming pipeline. In this chapter, you will learn how to architect an optimized and intelligent advanced streaming data platform with the Azure Data Analytics pipeline by leveraging smart algorithms integrated with Stream Analytics:

  • Utilizing JavaScript user-defined function (UDF) with an Azure Streaming query
  • Integrating intelligent Azure machine learning algorithms  with Stream Analytics functions
  • Developing a data streaming application by implementing a Stream Analytics job code structure with .NET management SDK

Real-time streaming data has the benefits of the generation of complex...