Big Data Processing With Hadoop

Big Data Processing With Hadoop

T. Revathi (Mepco Schlenk Engineering College, India), K. Muneeswaran (Mepco Schlenk Engineering College, India) and M. Blessa Binolin Pepsi (Mepco Schlenk Engineering College, India)
Release Date: November, 2018|Copyright: © 2019 |Pages: 244
DOI: 10.4018/978-1-5225-3790-8
ISBN13: 9781522537908|ISBN10: 1522537902|EISBN13: 9781522537915|ISBN13 Softcover: 9781522586951
Hardcover:
Available
$195.00
TOTAL SAVINGS: $195.00
Benefits
  • Free shipping on orders $395+
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • 20% discount on 5+ titles*
E-Book:
(Multi-User License)
Available
$195.00
TOTAL SAVINGS: $195.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
  • 20% discount on 5+ titles*
Hardcover +
E-Book:
(Multi-User License)
Available
$235.00
TOTAL SAVINGS: $235.00
Benefits
  • Free shipping on orders $395+
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
  • 20% discount on 5+ titles*
Softcover:
Available
$150.00
TOTAL SAVINGS: $150.00
Benefits
  • Free shipping on orders $395+
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • 20% discount on 5+ titles*
OnDemand:
(Individual Chapters)
Available
$37.50
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
  • 20% discount on 5+ titles*
Description & Coverage
Description:

Due to the increasing availability of affordable internet services, the number of users, and the need for a wider range of multimedia-based applications, internet usage is on the rise. With so many users and such a large amount of data, the requirements of analyzing large data sets leads to the need for further advancements to information processing.

Big Data Processing With Hadoop is an essential reference source that discusses possible solutions for millions of users working with a variety of data applications, who expect fast turnaround responses, but encounter issues with processing data at the rate it comes in. Featuring research on topics such as market basket analytics, scheduler load simulator, and writing YARN applications, this book is ideally designed for IoT professionals, students, and engineers seeking coverage on many of the real-world challenges regarding big data.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • API
  • Architecture Components
  • Customer Analytics
  • Hadoop Architecture
  • HDFS
  • MapReduce Programming
  • Market Basket Analytics
  • Pseudo-Distributed Operation
  • Scheduler Load Simulator
  • Writing YARN Applications
Media
Table of Contents
Search this Book:
Reset
Peer Review Process
The peer review process is the driving force behind all IGI Global books and journals. All IGI Global reviewers maintain the highest ethical standards and each manuscript undergoes a rigorous double-blind peer review process, which is backed by our full membership to the Committee on Publication Ethics (COPE). Learn More >
Ethics & Malpractice
IGI Global book and journal editors and authors are provided written guidelines and checklists that must be followed to maintain the high value that IGI Global places on the work it publishes. As a full member of the Committee on Publication Ethics (COPE), all editors, authors and reviewers must adhere to specific ethical and quality standards, which includes IGI Global’s full ethics and malpractice guidelines and editorial policies. These apply to all books, journals, chapters, and articles submitted and accepted for publication. To review our full policies, conflict of interest statement, and post-publication corrections, view IGI Global’s Full Ethics and Malpractice Statement.