Data-Intensive Text Processing with MapReduce

Data-Intensive Text Processing with MapReduce
Author :
Publisher : Springer Nature
Total Pages : 171
Release :
ISBN-10 : 9783031021367
ISBN-13 : 3031021363
Rating : 4/5 (363 Downloads)

Book Synopsis Data-Intensive Text Processing with MapReduce by : Jimmy Lin

Download or read book Data-Intensive Text Processing with MapReduce written by Jimmy Lin and published by Springer Nature. This book was released on 2022-05-31 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks


Data-Intensive Text Processing with MapReduce Related Books

Data-Intensive Text Processing with MapReduce
Language: en
Pages: 171
Authors: Jimmy Lin
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in co
Data-intensive Text Processing with MapReduce
Language: en
Pages: 178
Authors: Jimmy Lin
Categories: Computers
Type: BOOK - Published: 2010 - Publisher: Morgan & Claypool Publishers

DOWNLOAD EBOOK

This volume is a printed version of a work that appears in the Synthesis Digital Library of Engineering and Computer Science. Synthesis Lectures provide concise
Data-Intensive Text Processing with MapReduce
Language: en
Pages: 177
Authors: Jimmy Lin
Categories: Computers
Type: BOOK - Published: 2010-10-10 - Publisher: Morgan & Claypool Publishers

DOWNLOAD EBOOK

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in co
Data-intensive Systems
Language: en
Pages: 97
Authors: Tomasz Wiktorski
Categories: Computers
Type: BOOK - Published: 2019-01-01 - Publisher: Springer

DOWNLOAD EBOOK

Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts th
Hadoop in Action
Language: en
Pages: 471
Authors: Chuck Lam
Categories: Computers
Type: BOOK - Published: 2010-11-30 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Hadoop in Action teaches readers how to use Hadoop and write MapReduce programs. The intended readers are programmers, architects, and project managers who have