MARC details
| 000 -LIDER |
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| fixed length control field |
03666nam a22004815i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-3-319-33742-5 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20180206182944.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
160916s2016 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783319337425 |
| -- |
978-3-319-33742-5 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA76.9.D3 |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UN |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UMT |
| Source |
bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
COM021000 |
| Source |
bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
005.74 |
| Edition number |
23 |
| 245 10 - TITLE STATEMENT |
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| Title |
Conquering Big Data with High Performance Computing |
| Medium |
[recurso electrónico] / |
| Statement of responsibility, etc. |
edited by Ritu Arora. |
| 264 #1 - |
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| -- |
Cham : |
| -- |
Springer International Publishing : |
| -- |
Imprint: Springer, |
| -- |
2016. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
VIII, 329 p. 80 illus., 59 illus. in color. |
| Other physical details |
online resource. |
| 336 ## - |
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| -- |
text |
| -- |
txt |
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rdacontent |
| 337 ## - |
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computer |
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c |
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rdamedia |
| 338 ## - |
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| -- |
online resource |
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cr |
| -- |
rdacarrier |
| 347 ## - |
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| -- |
text file |
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PDF |
| -- |
rda |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
An Introduction to Big Data, High Performance Computing, High Throughput Computing, and Hadoop -- Using High Performance Computing for Conquering Big Data -- Data Movement in Data-Intensive High Performance Computing -- Using Managed High Performance Computing Systems for High Throughput Computing -- Accelerating Big Data Processing on Modern HPC Clusters -- dispel4py: An Agile Framework for Data-Intensive Methods Using HPC -- Big Data Performance Analysis Tool for HPC Applications and Scientific Clusters -- Big Data behind Big Data -- Empowering R with High Performance Computing Resources for Big Data Analytics -- Big Data Techniques as a Solution to Theory Problems -- High-Frequency Financial Statistics through High Performance Computing -- Large-scale Multi-Modal Data Exploration with Human in the Loop -- Using High Performance Computing for Detecting Duplicate, Similar and Related Images in a Large Data Collection -- Big Data Processing in the eDiscovery Domain -- Databases and High Performance Computing -- Conquering Big Data Through the Support of the Wrangler Supercomputer. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Architecture, Computer. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Data structures (Computer science). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Database management. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Database Management. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Término temático o nombre geográfico como elemento de entrada |
Computer System Implementation. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Data Structures. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Arora, Ritu. |
| Relator term |
editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
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| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Relationship information |
Printed edition: |
| International Standard Book Number |
9783319337401 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Public note |
Libro electrónico |
| Uniform Resource Identifier |
http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-33742-5 |
| 912 ## - |
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| -- |
ZDB-2-SCS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Libro Electrónico |
