Get Free Shipping on orders over $79
Guide to High Performance Distributed Computing : Case Studies with Hadoop, Scalding and Spark - K. G. Srinivasa

Guide to High Performance Distributed Computing

Case Studies with Hadoop, Scalding and Spark

By: K. G. Srinivasa, Anil Kumar Muppalla

eText | 9 February 2015

At a Glance

eText


$84.99

or 4 interest-free payments of $21.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.
This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.
on
Desktop
Tablet
Mobile

More in Computer Programming & Software Development

The End of Leadership - Barbara Kellerman

eBOOK

Spring AI in Action - Craig Walls

eBOOK