BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Big Data Appliances for in-Memory Computing : A Real-World Research Guide for Corporations to Tame and Wrangle Their Data

Big Data Appliances for in-Memory Computing : A Real-World Research Guide for Corporations to Tame and Wrangle Their Data

Big Data Appliances for in-Memory Computing : A Real-World Research Guide for Corporations to Tame and Wrangle Their Data Paperback - 2015

by Ganapathi Pulipaka

Add to wish list
  • Used
  • very good
  • Paperback
Used - Very good

Description

High Performance Computing Institute of Technology, 2015. Paperback. Very Good. Disclaimer:May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
Ask the seller a question Add to wish list
A$19.54
Free Delivery within USA
Standard delivery: 4 to 8 days
More delivery options
Ships from ThriftBooks (Washington, United States)
Biblio Top Seller
The BIBLIO Guarantee

Details

  • Title Big Data Appliances for in-Memory Computing : A Real-World Research Guide for Corporations to Tame and Wrangle Their Data
  • Author Ganapathi Pulipaka
  • Binding Paperback
  • Condition Used - Very good
  • Pages 212
  • Volumes 1
  • Language ENG
  • Publisher High Performance Computing Institute of Technology
  • Publication date 2015
  • Bookseller's Inventory # G0692599576I4N00
  • ISBN 9780692599570 / 0692599576
  • Weight 0.64 lbs (0.29 kg)
  • Dimensions 9.02 x 5.98 x 0.45 in (22.91 x 15.19 x 1.14 cm)
  • Category Computers - Accounting Packages
  • Quantity available 1

About ThriftBooks Washington, United States

Biblio member since 2018

From the largest selection of used titles, we put quality, affordable books into the hands of readers

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from ThriftBooks

Reader reviews for Big Data Appliances for in-Memory Computing : A Real-World Research Guide for Corporations to Tame and Wrangle Their Data

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data. The book delves deeper into the research results of industry relevant case studies with the disruption of in-memory computing platform innovation that diffuses high-speed computing and dynamic performance for business applications and explores how these modern big data analytics tools shape the future of aerospace, automotive, consumer goods and beverages, healthcare, government services, high tech, and public sector industries.

About the author

Academia

Ganapathi Pulipaka is research scholar in Computer and Information Systems who holds a Professional Doctorate Degree in Information Systems and Enterprise Resource Management from California Intercontinental University, Irvine, CA. His previous academic work includes a doctoral dissertation "SAP HANA and In-Memory Computing to Resolve Biggest Business Conundrums," and more than 200 research papers on a bevy of research topics such as modern databases, technology innovation, and strategic management. He is a popularizer of science and technologies.

Professional Background

Ganapathi Pulipaka is a distinguished technology leader providing innovatory solution architecture on SAP Business systems, Enterprise application development design engineering, management, and consulting delivery services offers expertise in SAP delivery execution and executive interaction as a trusted advisor. He started his career as an SAP ABAP Programmer. He has implemented around 25 SAP projects for Fortune 100 corporations and various other clients in the past 17+ years on next-generation SAP Applications providing a comprehensive portfolio of consulting solutions. He worked for 21 global corporations implementing SAP projects in building Global COE for SAP ERP, HANA, CRM, SRM, SCM, PLM, PPM, and BW Netweaver products. Ganapathi Pulipaka is an SAP Certified Professional.

Please wait a moment while we load the requested page.

tracking-