MARC details
| 000 -LIDER |
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03947nam a22005055i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-3-319-38776-5 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20180206183010.0 |
| 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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160824s2016 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783319387765 |
| -- |
978-3-319-38776-5 |
| 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 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Sakr, Sherif. |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Big Data 2.0 Processing Systems |
| Medium |
[recurso electrónico] : |
| Remainder of title |
A Survey / |
| Statement of responsibility, etc. |
by Sherif Sakr. |
| 264 #1 - |
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| -- |
Cham : |
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Springer International Publishing : |
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Imprint: Springer, |
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2016. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
XV, 102 p. 49 illus. |
| Other physical details |
online resource. |
| 336 ## - |
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| -- |
text |
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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 |
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rdacarrier |
| 347 ## - |
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| -- |
text file |
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PDF |
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rda |
| 490 1# - SERIES STATEMENT |
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| Series statement |
SpringerBriefs in Computer Science, |
| International Standard Serial Number |
2191-5768 |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Chapter 1: Introduction -- Chapter 2: General Purpose Big Data Processing Systems -- Chapter 3: Large Scale Processing of Structured Databases -- Chapter 4: Large Scale Graph Processing Systems -- Chapter 5: Large Scale Stream Processing Systems -- Chapter 6: Conclusions and Outlook. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
This book provides readers the ?big picture? and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and big data processing scenarios such as the large-scale processing of structured data, graph data and streaming data. Thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Lastly, Chapter 6 shares conclusions and an outlook on future research challenges. Overall, the book offers a valuable reference guide for students, researchers and professionals in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject. |
| 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 |
Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Database management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Information storage and retrieval. |
| 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 |
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| Término temático o nombre geográfico como elemento de entrada |
Big Data/Analytics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Término temático o nombre geográfico como elemento de entrada |
Information Storage and Retrieval. |
| 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 |
9783319387758 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
SpringerBriefs in Computer Science, |
| -- |
2191-5768 |
| 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/10.1007/978-3-319-38776-5 |
| 912 ## - |
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ZDB-2-SCS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Libro Electrónico |
