Data-intensive computing :: architectures, algorithms, and applications /
"A reference describing the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today"--
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge :
Cambridge University Press,
2013.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "A reference describing the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today"-- "A Challenge for the 21st Century Introduction In a world of rapid technological change such as the one we inhabit, it's occasionally instructive to contemplate how much things have changed in the last few years. For many, remembering life without the ability to view the World Wide Web (WWW) through the windows of a browser will be difficult (if not impossible for less 'mature' readers). And is it only seven years since YouTube, a Web site that is ingrained in so many facets of modern life, first came to life? How did we all really survive without FaceBook all those (actually, about 5) years ago? Various estimates put the amount of data stored by consumers and businesses around the world in 2010 in the vicinity of 13 exabytes, with a growth rate of 20--25% per annum. That's a lot of data. No wonder IBM is pursuing building a 120 petabyte storage array . There's obviously going to be a market for such devices in the future. As data volumes of all types, from video and photos to text documents and binary files for science, continue to grow in number and resolution, it's clear we have genuinely entered the realm of data intensive, or big data, computing."-- |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781139775625 1139775626 9780511844409 0511844409 9781139778664 1139778668 9781139781657 1139781650 1139793047 9781139793049 1316088677 9781316088678 1139783130 9781139783132 1139777149 9781139777148 |
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| 520 | |a "A reference describing the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today"-- |c Provided by publisher. | ||
| 520 | |a "A Challenge for the 21st Century Introduction In a world of rapid technological change such as the one we inhabit, it's occasionally instructive to contemplate how much things have changed in the last few years. For many, remembering life without the ability to view the World Wide Web (WWW) through the windows of a browser will be difficult (if not impossible for less 'mature' readers). And is it only seven years since YouTube, a Web site that is ingrained in so many facets of modern life, first came to life? How did we all really survive without FaceBook all those (actually, about 5) years ago? Various estimates put the amount of data stored by consumers and businesses around the world in 2010 in the vicinity of 13 exabytes, with a growth rate of 20--25% per annum. That's a lot of data. No wonder IBM is pursuing building a 120 petabyte storage array . There's obviously going to be a market for such devices in the future. As data volumes of all types, from video and photos to text documents and binary files for science, continue to grow in number and resolution, it's clear we have genuinely entered the realm of data intensive, or big data, computing."-- |c Provided by publisher. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | 0 | |t Data-intensive computing : a challenge for the 21st century / |r Ian Gorton and Deborah K. Gracio -- |t Anatomy of data-intensive computing applications / |r Ian Gorton and Deborah K. Gracio -- |t Hardware architectures for data-intensive computing problems : a case study for string matching / |r Antonino Tumeo, Oreste Villa and Daniel Chavarría-Miranda -- |t Data management architectures / |r Terence Critchlow [and others] -- |t Large scale data management techniques in cloud computing platforms / |r Sherif Sakr and Anna Liu -- |t Dimension reduction for streaming data / |r Chandrika Kamath -- |t Binary classification with support vector machines / |r Patrick Nichols, Bobbie-Jo Webb-Robertson and Christopher Oehmen -- |t Beyond MapReduce : new requirements for scalable data processing / |r Bill Howe -- |t Let the data do the talking : hypothesis discovery from large-scale datasets in real time / |r Christopher Oehmen [and others] -- |t Data-intensive visual analysis for cybersecurity / |r William A. Pike [and others]. |
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| 650 | 0 | |a Data transmission systems. |0 http://id.loc.gov/authorities/subjects/sh85035869 | |
| 650 | 2 | |a Computer Storage Devices |0 https://id.nlm.nih.gov/mesh/D016248 | |
| 650 | 6 | |a Superinformatique. | |
| 650 | 6 | |a Bases de données |x Gestion. | |
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| 650 | 6 | |a Architecture logicielle. | |
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| 700 | 1 | |a Gorton, Ian. |0 http://id.loc.gov/authorities/names/no96066237 | |
| 700 | 1 | |a Gracio, Deborah K., |d 1965- |1 https://id.oclc.org/worldcat/entity/E39PCjvJfWwwrYdGpq9hpgPd43 |0 http://id.loc.gov/authorities/names/n2012026910 | |
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Datensatz im Suchindex
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| author2 | Gorton, Ian Gracio, Deborah K., 1965- |
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| author_GND | http://id.loc.gov/authorities/names/no96066237 http://id.loc.gov/authorities/names/n2012026910 |
| author_additional | Ian Gorton and Deborah K. Gracio -- Antonino Tumeo, Oreste Villa and Daniel Chavarría-Miranda -- Terence Critchlow [and others] -- Sherif Sakr and Anna Liu -- Chandrika Kamath -- Patrick Nichols, Bobbie-Jo Webb-Robertson and Christopher Oehmen -- Bill Howe -- Christopher Oehmen [and others] -- William A. Pike [and others]. |
| author_facet | Gorton, Ian Gracio, Deborah K., 1965- |
| author_sort | Gorton, Ian |
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| collection | ZDB-4-EBA |
| contents | Data-intensive computing : a challenge for the 21st century / Anatomy of data-intensive computing applications / Hardware architectures for data-intensive computing problems : a case study for string matching / Data management architectures / Large scale data management techniques in cloud computing platforms / Dimension reduction for streaming data / Binary classification with support vector machines / Beyond MapReduce : new requirements for scalable data processing / Let the data do the talking : hypothesis discovery from large-scale datasets in real time / Data-intensive visual analysis for cybersecurity / |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn817967750 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:25:03Z |
| institution | BVB |
| isbn | 9781139775625 1139775626 9780511844409 0511844409 9781139778664 1139778668 9781139781657 1139781650 1139793047 9781139793049 1316088677 9781316088678 1139783130 9781139783132 1139777149 9781139777148 |
| language | English |
| oclc_num | 817967750 |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource |
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| publishDate | 2013 |
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| publisher | Cambridge University Press, |
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| spelling | Data-intensive computing : architectures, algorithms, and applications / [edited by] Ian Gorton, Deborah K. Gracio. Cambridge : Cambridge University Press, 2013. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier "A reference describing the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today"-- Provided by publisher. "A Challenge for the 21st Century Introduction In a world of rapid technological change such as the one we inhabit, it's occasionally instructive to contemplate how much things have changed in the last few years. For many, remembering life without the ability to view the World Wide Web (WWW) through the windows of a browser will be difficult (if not impossible for less 'mature' readers). And is it only seven years since YouTube, a Web site that is ingrained in so many facets of modern life, first came to life? How did we all really survive without FaceBook all those (actually, about 5) years ago? Various estimates put the amount of data stored by consumers and businesses around the world in 2010 in the vicinity of 13 exabytes, with a growth rate of 20--25% per annum. That's a lot of data. No wonder IBM is pursuing building a 120 petabyte storage array . There's obviously going to be a market for such devices in the future. As data volumes of all types, from video and photos to text documents and binary files for science, continue to grow in number and resolution, it's clear we have genuinely entered the realm of data intensive, or big data, computing."-- Provided by publisher. Includes bibliographical references and index. Print version record. Data-intensive computing : a challenge for the 21st century / Ian Gorton and Deborah K. Gracio -- Anatomy of data-intensive computing applications / Ian Gorton and Deborah K. Gracio -- Hardware architectures for data-intensive computing problems : a case study for string matching / Antonino Tumeo, Oreste Villa and Daniel Chavarría-Miranda -- Data management architectures / Terence Critchlow [and others] -- Large scale data management techniques in cloud computing platforms / Sherif Sakr and Anna Liu -- Dimension reduction for streaming data / Chandrika Kamath -- Binary classification with support vector machines / Patrick Nichols, Bobbie-Jo Webb-Robertson and Christopher Oehmen -- Beyond MapReduce : new requirements for scalable data processing / Bill Howe -- Let the data do the talking : hypothesis discovery from large-scale datasets in real time / Christopher Oehmen [and others] -- Data-intensive visual analysis for cybersecurity / William A. Pike [and others]. English. High performance computing. http://id.loc.gov/authorities/subjects/sh95008935 Database management. http://id.loc.gov/authorities/subjects/sh85035848 Computer storage devices. http://id.loc.gov/authorities/subjects/sh85029541 Software architecture. http://id.loc.gov/authorities/subjects/sh2004001071 Data transmission systems. http://id.loc.gov/authorities/subjects/sh85035869 Computer Storage Devices https://id.nlm.nih.gov/mesh/D016248 Superinformatique. Bases de données Gestion. Ordinateurs Mémoires. Architecture logicielle. COMPUTERS Database Management General. bisacsh COMPUTERS System Administration Storage & Retrieval. bisacsh Computer storage devices fast Data transmission systems fast Database management fast High performance computing fast Software architecture fast Gorton, Ian. http://id.loc.gov/authorities/names/no96066237 Gracio, Deborah K., 1965- https://id.oclc.org/worldcat/entity/E39PCjvJfWwwrYdGpq9hpgPd43 http://id.loc.gov/authorities/names/n2012026910 has work: Data-intensive computing (Text) https://id.oclc.org/worldcat/entity/E39PCGf7j4WWRWjR7GFRdKbMmq https://id.oclc.org/worldcat/ontology/hasWork Print version: Data-intensive computing. Cambridge : Cambridge University Press, 2013 9780521191951 (DLC) 2012015720 (OCoLC)794640218 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=494764 Volltext |
| spellingShingle | Data-intensive computing : architectures, algorithms, and applications / Data-intensive computing : a challenge for the 21st century / Anatomy of data-intensive computing applications / Hardware architectures for data-intensive computing problems : a case study for string matching / Data management architectures / Large scale data management techniques in cloud computing platforms / Dimension reduction for streaming data / Binary classification with support vector machines / Beyond MapReduce : new requirements for scalable data processing / Let the data do the talking : hypothesis discovery from large-scale datasets in real time / Data-intensive visual analysis for cybersecurity / High performance computing. http://id.loc.gov/authorities/subjects/sh95008935 Database management. http://id.loc.gov/authorities/subjects/sh85035848 Computer storage devices. http://id.loc.gov/authorities/subjects/sh85029541 Software architecture. http://id.loc.gov/authorities/subjects/sh2004001071 Data transmission systems. http://id.loc.gov/authorities/subjects/sh85035869 Computer Storage Devices https://id.nlm.nih.gov/mesh/D016248 Superinformatique. Bases de données Gestion. Ordinateurs Mémoires. Architecture logicielle. COMPUTERS Database Management General. bisacsh COMPUTERS System Administration Storage & Retrieval. bisacsh Computer storage devices fast Data transmission systems fast Database management fast High performance computing fast Software architecture fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh95008935 http://id.loc.gov/authorities/subjects/sh85035848 http://id.loc.gov/authorities/subjects/sh85029541 http://id.loc.gov/authorities/subjects/sh2004001071 http://id.loc.gov/authorities/subjects/sh85035869 https://id.nlm.nih.gov/mesh/D016248 |
| title | Data-intensive computing : architectures, algorithms, and applications / |
| title_alt | Data-intensive computing : a challenge for the 21st century / Anatomy of data-intensive computing applications / Hardware architectures for data-intensive computing problems : a case study for string matching / Data management architectures / Large scale data management techniques in cloud computing platforms / Dimension reduction for streaming data / Binary classification with support vector machines / Beyond MapReduce : new requirements for scalable data processing / Let the data do the talking : hypothesis discovery from large-scale datasets in real time / Data-intensive visual analysis for cybersecurity / |
| title_auth | Data-intensive computing : architectures, algorithms, and applications / |
| title_exact_search | Data-intensive computing : architectures, algorithms, and applications / |
| title_full | Data-intensive computing : architectures, algorithms, and applications / [edited by] Ian Gorton, Deborah K. Gracio. |
| title_fullStr | Data-intensive computing : architectures, algorithms, and applications / [edited by] Ian Gorton, Deborah K. Gracio. |
| title_full_unstemmed | Data-intensive computing : architectures, algorithms, and applications / [edited by] Ian Gorton, Deborah K. Gracio. |
| title_short | Data-intensive computing : |
| title_sort | data intensive computing architectures algorithms and applications |
| title_sub | architectures, algorithms, and applications / |
| topic | High performance computing. http://id.loc.gov/authorities/subjects/sh95008935 Database management. http://id.loc.gov/authorities/subjects/sh85035848 Computer storage devices. http://id.loc.gov/authorities/subjects/sh85029541 Software architecture. http://id.loc.gov/authorities/subjects/sh2004001071 Data transmission systems. http://id.loc.gov/authorities/subjects/sh85035869 Computer Storage Devices https://id.nlm.nih.gov/mesh/D016248 Superinformatique. Bases de données Gestion. Ordinateurs Mémoires. Architecture logicielle. COMPUTERS Database Management General. bisacsh COMPUTERS System Administration Storage & Retrieval. bisacsh Computer storage devices fast Data transmission systems fast Database management fast High performance computing fast Software architecture fast |
| topic_facet | High performance computing. Database management. Computer storage devices. Software architecture. Data transmission systems. Computer Storage Devices Superinformatique. Bases de données Gestion. Ordinateurs Mémoires. Architecture logicielle. COMPUTERS Database Management General. COMPUTERS System Administration Storage & Retrieval. Computer storage devices Data transmission systems Database management High performance computing Software architecture |
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| work_keys_str_mv | AT gortonian dataintensivecomputingarchitecturesalgorithmsandapplications AT graciodeborahk dataintensivecomputingarchitecturesalgorithmsandapplications |