Anindita Basak - 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 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
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
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
Table of Contents- Introducing Stream Processing and Real-time Insights
- Introducing Azure Stream Analytics and Key advantages
- Designing Real Time Streaming Pipeline
- 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 & Managing of Stream Analytics jobs
- Optimizing Intelligence in Azure Streaming
- Understand Stream Analytics job monitoring and how to monitor queries
- Use Cases on Real World Data Streaming Architectures
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Krishna Venkataraman
Ryan Murphy
Manpreet Singh
BIRMINGHAM - MUMBAI
Copyright 2017 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: November 2017
Production reference: 1201117
ISBN 978-1-78839-590-8
www.packtpub.com
Authors Anindita Basak | Copy Editors Tasneem Fatehi Safis Editing |
Reviewers Ryan Murphy | Project Coordinator Manthan Patel |
Commissioning Editor Amey Varangaonkar | Proofreader Safis Editing |
Acquisition Editor Tushar Gupta | Indexer Pratik Shirodkar |
Content Development Editor Snehal Kolte | Graphics Tania Dutta |
Technical Editor | Production Coordinator Shantanu Zagade |
Anindita Basakis working as big data and cloud architect for a computer software giant and has been working with Microsoft Azure for the last 8+ years. She has worked with various teams of Microsoft as an FTE in the role of Azure Development Support Engineer, Pro-Direct Delivery Manager, Partner Technical Consultant. She has been a technical reviewer on five books by Packt on Azure HDInsight, SQL Server business intelligence, Hadoop development, smart learning with the Internet of Things (IoT), and decision science. Recently, she authored two video courses on Azure stream analytics by Packt. More details about her can be found on her LinkedIn profile at https://www.linkedin.com/in/aninditabasak .
Krishna Venkataramanis a cloud solution architect working with Microsoft. He has worked with a large public sector and Finserv customers around the world, building and deploying innovative solutions to solve their business challenges through technology and business process change.
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