Stream Analytics with Microsoft Azure: Real-time data processing for quick insights using Azure Stream Analytics

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Develop and manage effective real-time streaming solutions by leveraging the power of Microsoft AzureAbout This Book
  • Analyze your data from various sources using Microsoft Azure Stream Analytics
  • Develop, manage and automate your stream analytics solution with Microsoft Azure
  • A practical guide to real-time event processing and performing analytics on the cloud
Who This Book Is For

If you are looking for a resource that teaches you how to process continuous streams of data in real-time, this book is what you need. A basic understanding of the concepts in analytics is all you need to get started with this book

What You Will Learn
  • Perform real-time event processing with Azure Stream Analysis
  • Incorporate the features of Big Data Lambda architecture pattern in real-time data processing
  • Design a streaming pipeline for storage and batch analysis
  • Implement data transformation and computation activities over stream of events
  • Automate your streaming pipeline using Powershell and the .NET SDK
  • Integrate your streaming pipeline with popular Machine Learning and Predictive Analytics modelling algorithms
  • Monitor and troubleshoot your Azure Streaming jobs effectively
In Detail

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.

Style and approach

A comprehensive guidance on developing real-time event processing with Azure Stream Analysis

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About the author

Anindita Basak is working as Big Data & Cloud Architect for one of Computer Software giant & working with Microsoft Azure for last 8+ years. She has worked with various teams of Microsoft as FTE in the role of Azure Development Support Engineer, Pro-Direct Delivery Manager, Partner Technical Consultant. She has been technical reviewer for five books from Packt Publisher on Azure HDInsight, SQL Server Business Intelligence, Hadoop Development & Smart Learning with Internet of Things & Decision Science. Recently, she authored two video courses on Azure Stream Analytics from Packt Publishing.

Krishna is a Cloud Solution Architect working at Microsoft. He has worked with large Public Sector, Finserv customers around the world building and deploying innovate solutions the solves their business challenges through technology and business process changes. Currently, Krishna is helping Finserv and Telco's with their Cloud Journey.

Ryan Murphy is a solution architect living in Saint Louis, Missouri. He has been building and innovating with data for nearly twenty years, including extensive work in the gaming and agriculture industries. Currently, Ryan is helping some of the world's largest organizations modernize their business with data solutions powered by the Microsoft Azure cloud.

Manpreet Singh is a consultant and author with extensive expertise in architecture, design, and implementation of business intelligence and Big Data analytics solutions. He is passionate about enabling businesses to derive valuable insights from their data. Manpreet has been working on Microsoft technologies for more than 10 years, with a strong focus on Microsoft Business Intelligence Stack, SharePoint BI, and Microsoft's Big Data Analytics Platforms (Analytics Platform System and HDInsight). He also specializes in Mobile Business Intelligence solution development and has helped businesses deliver a consolidated view of their data to their mobile workforces. Manpreet has coauthored books and technical articles on Microsoft technologies, focusing on the development of data analytics and visualization solutions with the Microsoft BI Stack and SharePoint. He holds a degree in computer science and engineering from Punjab University, India.

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Additional Information

Packt Publishing Ltd
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Published on
Dec 1, 2017
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Computers / Cloud Computing
Computers / Data Modeling & Design
Computers / Data Processing
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Content Protection
This content is DRM free.
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Available on Android devices
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