• Complain

Gollapudi - Getting started with Greenplum for big data analytics

Here you can read online Gollapudi - Getting started with Greenplum for big data analytics 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, 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.

Gollapudi Getting started with Greenplum for big data analytics
  • Book:
    Getting started with Greenplum for big data analytics
  • Author:
  • Publisher:
    Packt Publishing
  • Genre:
  • Year:
    2013
  • City:
    Birmingham
  • Rating:
    3 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 60
    • 1
    • 2
    • 3
    • 4
    • 5

Getting started with Greenplum for big data analytics: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Getting started with Greenplum for big data analytics" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Standard tutorial-based approach.Getting Started with Greenplum for Big Data Analytics is great for data scientists and data analysts with a basic knowledge of Data Warehousing and Business Intelligence platforms who are new to Big Data and who are looking to get a good grounding in how to use the Greenplum Platform. Its assumed that you will have some experience with database design and programming as well as be familiar with analytics tools like R and Weka

Gollapudi: author's other books


Who wrote Getting started with Greenplum for big data analytics? Find out the surname, the name of the author of the book and a list of all author's works by series.

Getting started with Greenplum for big data analytics — 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 "Getting started with Greenplum for big data analytics" 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.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Getting Started with Greenplum for Big Data Analytics

Getting Started with Greenplum for Big Data Analytics

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: October 2013

Production Reference: 1171013

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78217-704-3

www.packtpub.com

Cover Image by Aniket Sawant (<>)

Credits

Author

Sunila Gollapudi

Reviewers

Brian Feeny

Scott Kahler

Alan Koskelin

Tuomas Nevanranta

Acquisition Editor

Kevin Colaco

Commissioning Editor

Deepika Singh

Technical Editors

Kanhucharan Panda

Vivek Pillai

Project Coordinator

Amey Sawant

Proofreader

Bridget Braund

Indexer

Mariammal Chettiyar

Graphics

Valentina D'silva

Ronak Dhruv

Abhinash Sahu

Production Coordinator

Adonia Jones

Cover Work

Adonia Jones

Foreword

In the last decade, we have seen the impact of exponential advances in technology on the way we work, shop, communicate, and think. At the heart of this change is our ability to collect and gain insights into data; and comments like "Data is the new oil" or "we have a Data Revolution" only amplifies the importance of data in our lives.

Tim Berners-Lee, inventor of the World Wide Web said, "Data is a precious thing and will last longer than the systems themselves." IBM recently stated that people create a staggering 2.5 quintillion bytes of data every day (that's roughly equivalent to over half a billion HD movie downloads). This information is generated from a huge variety of sources including social media posts, digital pictures, videos, retail transactions, and even the GPS tracking functions of mobile phones.

This data explosion has led to the term "Big Data" moving from an Industry buzz word to practically a household term very rapidly. Harnessing "Big Data" to extract insights is not an easy task; the potential rewards for finding these patterns are huge, but it will require technologists and data scientists to work together to solve these problems.

The book written by Sunila Gollapudi , Getting Started with Greenplum for Big Data Analytics , has been carefully crafted to address the needs of both the technologists and data scientists.

Sunila starts with providing excellent background to the Big Data problem and why new thinking and skills are required. Along with a dive deep into advanced analytic techniques, she brings out the difference in thinking between the "new" Big Data science and the traditional "Business Intelligence", this is especially useful to help understand and bridge the skill gap.

She moves on to discuss the computing side of the equation-handling scale, complexity of data sets, and rapid response times. The key here is to eliminate the "noise" in data early in the data science life cycle. Here, she talks about how to use one of the industry's leading product platforms like Greenplum to build Big Data solutions with an explanation on the need for a unified platform that can bring essential software components (commercial/open source) together backed by a hardware/appliance.

She then puts the two together to get the desired resulthow to get meaning out of Big Data. In the process, she also brings out the capabilities of the R programming language, which is mainly used in the area of statistical computing, graphics, and advanced analytics.

Her easy-to-read practical style of writing with real examples shows her depth of understanding of this subject. The book would be very useful for both data scientists (who need to learn the computing side and technologies to understand) and also for those who aspire to learn data science.

V. Laxmikanth

Managing Director

Broadridge Financial Solutions (India) Private Limited

www.broadridge.com

About the Author

Sunila Gollapudi works as a Technology Architect for Broadridge Financial Solutions Private Limited. She has over 13 years of experience in developing, designing and architecting data-driven solutions with a focus on the banking and financial services domain for around eight years. She drives Big Data and data science practice for Broadridge. Her key roles have been Solutions Architect, Technical leader, Big Data evangelist, and Mentor.

Sunila has a Master's degree in Computer Applications and her passion for mathematics enthused her into data and analytics. She worked on Java, Distributed Architecture, and was a SOA consultant and Integration Specialist before she embarked on her data journey. She is a strong follower of open source technologies and believes in the innovation that open source revolution brings.

She has been a speaker at various conferences and meetups on Java and Big Data. Her current Big Data and data science specialties include Hadoop, Greenplum, R, Weka, MADlib, advanced analytics, machine learning, and data integration tools such as Pentaho and Informatica.

With a unique blend of technology and domain expertise, Sunila has been instrumental in conceptualizing architectural patterns and providing reference architecture for Big Data problems in the financial services domain.

Acknowledgement

It was a pleasure to work with Packt Publishing on this project. Packt has been most accommodating, extremely quick, and responsive to all requests.

I am deeply grateful to Broadridge for providing me the platform to explore and build expertise in Big Data technologies. My greatest gratitude to Laxmikanth V. (Managing Director, Broadridge) and Niladri Ray (Executive Vice President, Broadridge) for all the trust, freedom, and confidence in me.

Thanks to my parents for having relentlessly encouraged me to explore any and every subject that interested me.

Authors usually thank their spouses for their "patience and support" or words to that effect. Unless one has lived through the actual experience, one cannot fully comprehend how true this is. Over the last ten years, Kalyan has endured what must have seemed like a nearly continuous stream of whining punctuated by occasional outbursts of exhilaration and grandiosityall of which before the background of the self-absorbed attitude of a typical author. His patience and support were unfailing.

Last but not least, my love, my daughter, my angel, Nikita, who has been my continuous drive. Without her being as accommodative as she was, this book wouldn't have been possible.

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Getting started with Greenplum for big data analytics»

Look at similar books to Getting started with Greenplum for big data analytics. 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.


Reviews about «Getting started with Greenplum for big data analytics»

Discussion, reviews of the book Getting started with Greenplum for big data analytics 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.