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 7. Integration of Microsoft Business Intelligence and Big Data

In this chapter, comparative analysis guidance on Azure Streaming with other Microsoft data platform resources, for example, big data Lambda Architecture integration for real-time data analysis, has been provided and choosing various scenarios for solution architecture designing concepts with Azure HDInsight clusters with Storm and Stream Analytics has been explained. We have portrayed the design and real-world implementation guidelines on near real-time data processing pipelines with a visual dashboard through Azure Stream Analytics and Microsoft Power BI.

This chapter covers the following topics:

  • Integration of big data Lambda and Kappa Architecture for real-time  data analytics
  • Comparative analysis guidance between Azure HDInsight Storm and Stream Analytics
  • Step-by-step reference on implementing near real-time data architecture pipeline through designing of a visual dashboard using Stream Analytics and Microsoft Power...