Stream Analytics with Microsoft Azure

Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh

• Publisher: Packt Publishing
• Year: 2017
• eBook ISBN: 9781788390620
• Topic: Computer Science
• Subtopic: Computer Networking
• Index: Computer Science

Develop and manage effective real-time streaming solutions by leveraging the power of Microsoft Azure

Key Features

• 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

Book Description

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.

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

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

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Table of contents

• Title Page
• Copyright
• Credits
• About the Authors
• About the Reviewers
• www.PacktPub.com
• Customer Feedback
• Preface
• Introducing Stream Processing and Real-Time Insights
• Introducing Azure Stream Analytics and Key Advantages
• Designing Real-Time Streaming Pipelines
• Developing Real-Time Event Processing with Azure Streaming
• Building Using Stream Analytics Query Language
• How to achieve Seamless Scalability with Automation
• Integration of Microsoft Business Intelligence and Big Data
• Designing and Managing Stream Analytics Jobs
• Optimizing Intelligence in Azure Streaming
• Understanding Stream Analytics Job Monitoring
• Use Cases for Real-World Data Streaming Architectures