Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Algorithmic Aspects of Parallel Data Processing, Paperback / softback Book

Algorithmic Aspects of Parallel Data Processing Paperback / softback

Part of the Foundations and Trends in Databases series

Paperback / softback

Available to Order - This title is available to order, with delivery expected within 2 weeks

Description

The last decade has seen a huge and growing interest in processing large data sets on large distributed clusters.

This trend began with the MapReduce framework, and has been widely adopted by several other systems, including PigLatin, Hive, Scope, Dremmel, Spark and Myria to name a few.

While the applications of such systems are diverse (for example, machine learning, data analytics), most involve relatively standard data processing tasks like identifying relevant data, cleaning, filtering, joining, grouping, transforming, extracting features, and evaluating results.

This has generated great interest in the study of algorithms for data processing on large distributed clusters.

Algorithmic Aspects of Parallel Data Processing discusses recent algorithmic developments for distributed data processing.

It uses a theoretical model of parallel processing called the Massively Parallel Computation (MPC) model, which is a simplification of the BSP model where the only cost is given by the amount of communication and the number of communication rounds.

The survey studies several algorithms for multi-join queries, sorting, and matrix multiplication.

It discusses their relationships and common techniques applied across the different data processing tasks.

Information

£81.00

Available to Order - This title is available to order, with delivery expected within 2 weeks
Add to Basket
Sign in to add to wishlist
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information