Conquering Big Data with High Performance Computing
Conquering Big Data with High Performance Computing
Springer | Database Management | October 18, 2016 | ISBN-10: 3319337408 | 327 pages | pdf | 8.74 mb
Springer | Database Management | October 18, 2016 | ISBN-10: 3319337408 | 327 pages | pdf | 8.74 mb
Editors: Arora, Ritu (Ed.)
Presents curated information on state-of-the-practice in conquering Big Data challenges by leveraging HPC/HTCCovers the landscape of open-science datacenters & resources; very useful for those professionals who are currently stalled at the desktop-computing levelProvides an introduction to HPC/HTC and shows successful projects that have used HPC/HTC for conquering Big DataExplains the legal and policy barriers to research using large datasets
This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.
Number of Illustrations and Tables
21 b/w illustrations, 59 illustrations in colour
Topics
Database Management
Computer System Implementation
Data Structures
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