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Many of experts in the computer community believe in that we are in the age of data explosion. A huge amount of data values is generated at each moment of time, that must be captured, gathered, stored, maintained, managed, processed, analyzed and probably visualized, to be beneficially applied; This is the major challenge of almost all current operational data-intensive applications in the real-world. In many of data-intensive applications, data are in form of data stream instead of stored data bases. Generally and most often, a single processor DSMS is not capable to process huge volume of input streams and cannot execute query operators continuously over them with satisfactory speed. To overcome this shortcoming, parallel execution of queries based on a multiprocessor platform is presented in this book to eliminate system bottleneck.
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Parallel Processing of Data Streams
Editore:
LAP LAMBERT Academic Publishing Mrz 2020, 2020
ISBN 10: 3330031174
ISBN 13: 9783330031173
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many of experts in the computer community believe in that we are in the age of data explosion. A huge amount of data values is generated at each moment of time, that must be captured, gathered, stored, maintained, managed, processed, analyzed and probably visualized, to be beneficially applied; This is the major challenge of almost all current operational data-intensive applications in the real-world. In many of data-intensive applications, data are in form of data stream instead of stored data bases. Generally and most often, a single processor DSMS is not capable to process huge volume of input streams and cannot execute query operators continuously over them with satisfactory speed. To overcome this shortcoming, parallel execution of queries based on a multiprocessor platform is presented in this book to eliminate system bottleneck. 188 pp. Englisch. Codice articolo 9783330031173
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Parallel Processing of Data Streams
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ISBN 10: 3330031174
ISBN 13: 9783330031173
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Safaei Ali A.Ali A. Safaei has received the Ph.D. degree in computer engineering in 2011. In 2014, he joined the Department of BioMedical Informatics, Tarbiat Modares University. His current research interests include parallel and re. Codice articolo 385707440
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Parallel Processing of Data Streams
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LAP LAMBERT Academic Publishing Mär 2020, 2020
ISBN 10: 3330031174
ISBN 13: 9783330031173
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many of experts in the computer community believe in that we are in the age of data explosion. A huge amount of data values is generated at each moment of time, that must be captured, gathered, stored, maintained, managed, processed, analyzed and probably visualized, to be beneficially applied; This is the major challenge of almost all current operational data-intensive applications in the real-world. In many of data-intensive applications, data are in form of data stream instead of stored data bases. Generally and most often, a single processor DSMS is not capable to process huge volume of input streams and cannot execute query operators continuously over them with satisfactory speed. To overcome this shortcoming, parallel execution of queries based on a multiprocessor platform is presented in this book to eliminate system bottleneck.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. Codice articolo 9783330031173
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Parallel Processing of Data Streams
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 3330031174
ISBN 13: 9783330031173
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many of experts in the computer community believe in that we are in the age of data explosion. A huge amount of data values is generated at each moment of time, that must be captured, gathered, stored, maintained, managed, processed, analyzed and probably visualized, to be beneficially applied; This is the major challenge of almost all current operational data-intensive applications in the real-world. In many of data-intensive applications, data are in form of data stream instead of stored data bases. Generally and most often, a single processor DSMS is not capable to process huge volume of input streams and cannot execute query operators continuously over them with satisfactory speed. To overcome this shortcoming, parallel execution of queries based on a multiprocessor platform is presented in this book to eliminate system bottleneck. Codice articolo 9783330031173
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