Nadipalli - HDInsight essentials
Here you can read online Nadipalli - HDInsight essentials full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2013, publisher: Packt Publishing, genre: Home and family. 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:
Romance novel
Science fiction
Adventure
Detective
Science
History
Home and family
Prose
Art
Politics
Computer
Non-fiction
Religion
Business
Children
Humor
Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.
- Book:HDInsight essentials
- Author:
- Publisher:Packt Publishing
- Genre:
- Year:2013
- Rating:3 / 5
- Favourites:Add to favourites
- Your mark:
HDInsight essentials: summary, description and annotation
We offer to read an annotation, description, summary or preface (depends on what the author of the book "HDInsight essentials" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.
Tap your unstructured Big Data and empower your business using the Hadoop distribution from Windows
Overview
- Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting
- Build a multi-node Hadoop cluster on Windows servers
- Establish a Big Data solution using HDInsight with open source software, and provide useful Excel reports
- Run Pig scripts and build simple charts using Interactive JS (Azure)
In Detail
We live in an era in which data is generated with every action and a lot of these are unstructured; from Twitter feeds, Facebook updates, photos and digital sensor inputs. Current relational databases cannot handle the volume, velocity and variations of data. HDInsight gives you the ability to gain the full value of Big Data with a modern, cloud-based data platform that manages data of any size and type, whether structured or unstructured.
A hands-on guide that shows you how to seamlessly store and process Big Data of all types through Microsofts modern data platform; which provides simplicity, ease of management, and an open enterprise-ready Hadoop service all running in the Cloud. You will then learn how to analyze your Hadoop data with PowerPivot, Power View, Excel, and other Microsoft BI tools; thanks to integration with the Microsoft data platform, this will give you a solid foundation to build your own HDInsight solution, both on premise and on Cloud.
Firstly, we will provide an overview of Hadoop and Microsoft Big Data strategy, where HDinsight plays a key role. We will then show you how to set up your HDInsight cluster and take you through the 4 stages of collecting, processing, analysing and reporting. For each of these stages, you will see a practical example with working code.
You will then learn core Hadoop concepts like HDFS and MapReduce. You will also get a closer look at how Microsofts HDInsight leverages Hortonworks Data Platform that uses Apache Hadoop. You will then be guided through Hadoop commands and programming using open source software, such as Hive and Pig with HDInsight. Finally, you will learn to analyze and report using PowerPivot, Power View, Excel, and other Microsoft BI tools.
This guide provides step-by-step instructions on how to build a Big Data solution using HDInsight with open source software, provide useful Excel reports, and open up the full value of HDInsight.
What you will learn from this book
- Explore the characteristics of a Big Data problem
- Analyse and report your data using PowerPivot, Power View, Excel, and other Microsoft BI tools
- Explore the architectural considerations for scalability, maintainability, and security
- Understand the concept of Data Ingestion to your HDInsight cluster including community tools and scripts
- Administer and monitor your HDInsight cluster including capacity and process management
- Get to know the Hadoop ecosystem with various tools and software based on their roles
- Get to know the HDInsight differentiator and how it is built on top of Apache Hadoop
- Transform your data using open source software such as MapReduce, Hive, Pig and JavaScript
Approach
This book is a fast-paced guide full of step-by-step instructions on how to build a multi-node Hadoop cluster on Windows servers.
Nadipalli: author's other books
Who wrote HDInsight essentials? Find out the surname, the name of the author of the book and a list of all author's works by series.
HDInsight essentials — read online for free the complete book (whole text) full work
Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "HDInsight essentials" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.
Font size:
Interval:
Bookmark:
Copyright 2013 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 author, 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: September 2013
Production Reference: 1160913
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-84969-536-7
www.packtpub.com
Cover Image by Suresh Mogre (<>)
Author
Rajesh Nadipalli
Reviewers
Anindita Basak
Avkash Chauhan
Durga Ramana Muktevi
Acquisition Editor
Sam Birch
Erol Staveley
Commissioning Editor
Mohammed Fahad
Technical Editors
Dennis John
Gaurav Thingalaya
Copy Editor
Tanvi Gaitonde
Sayanee Mukherjee
Adithi Shetty
Laxmi Subramanian
Project Coordinator
Sherin Padayatty
Proofreader
Hardip Sidhu
Indexer
Monica Ajmera Mehta
Graphics
Yuvraj Mannari
Valentina Dsilva
Disha Haria
Production Coordinator
Adonia Jones
Cover Work
Adonia Jones
Rajesh Nadipalli has over 17 years' IT experience and has held a technical leadership position at Cisco Systems. His key focus areas have been Data Management, Enterprise Architecture, Business Intelligence, Data Warehousing, and Extract Transform Load (ETL). He has demonstrated success by delivering scalable data management and BI solutions that empower businesses to make informed decisions.
In his current role as a Senior Solutions Architect at Zaloni, Raj evaluates Big Data goals for his clients, recommends a target state architecture, assists in proof of concepts, and prepares them for a production implementation. In addition, Raj is an instructor for Hadoop for Developers, Hive, Pig, and HBase. His clients include Verizon, American Express, Netapp, Cisco, EMC, and United Health Group.
Raj holds an MBA from NC State University and a BS in EE from the University of Mumbai, India.
I would like to thank my family.
Anindita Basak is currently working as a Senior System Analyst in Sonata Software in the Windows Azure Delivery group of Microsoft. She has worked as a Senior Software Engineer on implementations of various enterprise applications on Windows Azure and Windows phones. She started her journey in Windows Azure in the Microsoft Cloud Integration Engineering (CIE) team and worked as a Support Engineer in Microsoft India (R&D) Pvt. Ltd. With more than 5 years' experience in the Microsoft .NET technology stack, she is solely focused on Cloud and Microsoft Mobility. She loves to share her technical experience and expertise through her blog at http://anindita9.wordpress.com.
I would like to thank my parents and my lovely brother! Without your help I can't achieve any goals of my life.
Avkash Chauhan has spent the last 8 years at Microsoft where he was a founding member of the HDInsight product, and has recently started working at a start-up named Platfora Inc. as a Senior Engineer. Avkash Chauhan worked on the HDInsight project since its incubation at Microsoft, and worked with a few early stage customers at Microsoft. Avkash Chauhan has spent about five years in cloud computing, and for the last 3 years, he has been working with Hadoop technology developing products to make Hadoop amazing.
I would like to thank my family and friends, who gave me their love and time to review this book.
Durga Ramana Muktevi has 16 years' IT experience and held various positions in implementing as well as managing enterprise scale Information Technology architectures. He has domain expertise in banks, and also in financial, health, and insurance industries. He has worked for Fortune 500, start-ups, and the Big Four consulting companies.
He has held various positions in management, IT strategy, M&A, and large transformations. His architectural and technological experience spans wide and broadly in the disciplines such as enterprise, business, application, data, security, operations, infrastructure, cloud, SaaS, Big Data, ERP, SOA, modernization, product development, and integration.
He has held responsible positions for governance and supporting government regulatory and compliance, as well as internal and external audits.
Durga Muktevi has a Bachelors degree in Electronics and Communications Engineering from Karnataka University, Dharwad, India. He has attended various conferences, technology, and business administration classes. He is married, blessed with two kids, and lives in Cary, North Carolina, USA.
He has worked at McKesson, Royal Bank of Canada, QSecure, and Unitrin Direct. He has also worked as a consultant for Accenture, Fujitsu Consulting, and SV Consulting.
You might want to visit www.PacktPub.com for support files and downloads related to your book.
Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at > for more details.
At www.PacktPub.com, you can also read a collection of free technical articles, sign up for a range of free newsletters and receive exclusive discounts and offers on Packt books and eBooks.
http://PacktLib.PacktPub.com
Do you need instant solutions to your IT questions? PacktLib is Packt's online digital book library. Here, you can access, read and search across Packt's entire library of books.
- Fully searchable across every book published by Packt
- Copy and paste, print and bookmark content
- On demand and accessible via web browser
If you have an account with Packt at www.PacktPub.com, you can use this to access PacktLib today and view nine entirely free books. Simply use your login credentials for immediate access.
This book gives a quick introduction to Hadoop-like problems, and gives a primer on the real value of HDInsight. Next, it will show how to set up your HDInsight cluster. Then, it will take you through the four stages: collect, process, analyze, and report.For each of these stages you will see a practical example with the working code.
Font size:
Interval:
Bookmark:
Similar books «HDInsight essentials»
Look at similar books to HDInsight essentials. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.
Discussion, reviews of the book HDInsight essentials and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.