ABSTRACT

As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages.Pre

chapter 1|18 pages

Scalable Indexing for Big Data Processing

chapter 5|14 pages

◾ Approaches for High-Performance Big Data Processing: Applications and Challenges

ByOUIDAD ACHAHBAR, MOHAMED RIDUAN ABID, MOHAMED BAKHOUYA, CHAKER EL AMRANI, JAAFAR GABER, MOHAMMED ESSAAIDI, AND TAREK A. EL GHAZAWI

chapter 6|16 pages

◾ The Art of Scheduling for Big Data Science

ByFLORIN POP, VALENTIN CRISTEA

chapter 7|18 pages

◾ Time–Space Scheduling in the MapReduce Framework

ByZHUO TANG, LING QI, LINGANG JIANG, KENLI LI, KEQIN LI

chapter 8|18 pages

◾ GEMS: Graph Database Engine for Multithreaded Systems

ByALESSANDRO MORARI, VITO GIOVANNI CASTELLANA, ORESTE VILLA, JESSE WEAVER, GREG WILLIAMS, DAVID HAGLIN, ANTONINO TUMEO, AND JOHN FEO

chapter 9|18 pages

◾ KSC-net: Community Detection for Big Data Networks

ByRAGHVENDRA MALL AND JOHAN A.K. SUYKENS

chapter 11|22 pages

◾ Key Technologies for Big Data Stream Computing

ByDAWEI SUN, GUANGYAN ZHANG, WEIMIN ZHENG, KEQIN LI

chapter 15|18 pages

◾ Personal Data Protection Aspects of Big Data

ByPAOLO BALBONI

chapter 17|28 pages

◾ Big Data in Finance

ByTARUNA SETH, VIPIN CHAUDHARY