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Basak Anindita - Stream Analytics with Microsoft Azure

Here you can read online Basak Anindita - Stream Analytics with Microsoft Azure full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. City: Birmingham;England, year: 2017, publisher: Packt Publishing Limited, genre: Computer. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

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Microsoft Azure is a very popular cloud computing service used by many organizations. 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 understand the basics of how Azure Stream Analytics works, and build your own analytics solution using its capabilities.

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Stream Analytics with Microsoft Azure Real-time data processing for quick - photo 1
Stream Analytics with Microsoft Azure
Real-time data processing for quick insights using Azure Stream Analytics
Anindita Basak
Krishna Venkataraman
Ryan Murphy
Manpreet Singh
BIRMINGHAM - MUMBAI Stream Analytics with Microsoft Azure Copyright 2017 - photo 2

BIRMINGHAM - MUMBAI

Stream Analytics with Microsoft Azure

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

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78839-590-8

www.packtpub.com

Credits

Authors

Anindita Basak
Krishna Venkataraman
Ryan Murphy
Manpreet Singh

Copy Editors

Tasneem Fatehi

Safis Editing

Reviewers

Ryan Murphy
Richard Iwasa
Vandana Saini

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
Sayli Nikalje

Production Coordinator

Shantanu Zagade

About the Authors

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 .

I would like to dedicate this book to my dad, Ajit, my mom, Anjana, and my lovely brother, Aditya. Without your support, I couldnt have reached the goal of my life. Thanks for your patience and endless endurance.

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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