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Benchmarking Transaction and Analytical Processing Systems: The Creation of a Mixed Workload Benchmark and Its Application - Rilegato
Sinossi
Systems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing.
Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well.
Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Anja Bog is a PhD candidate and research assistant at the research group "Enterprise Platform and Integration Concepts" of Prof. Dr. h.c. Hasso Plattner, Hasso Plattner Institute, Potsdam, Germany. Her special interests lie in the data management systems underneath operational and analytical business applications, and in the question of validating the integrated data management of both domains. Anja Bog holds a Master of Science with Distinction in IT Systems Engineering from the Hasso Plattner Institute at the University of Potsdam.
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Systems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing.
Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well.
Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer
- Data di pubblicazione2013
- ISBN 10 3642380697
- ISBN 13 9783642380693
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine180
- Contatto del produttorenon disponibile
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Benchmarking Transaction and Analytical Processing Systems. The Creation of a Mixed Workload Benchmark and its Application.
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Benchmarking Transaction and Analytical Processing Systems : The Creation of a Mixed Workload Benchmark and its Application
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ISBN 13: 9783642380693
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Benchmarking Transaction and Analytical Processing Systems. The creation of a mixed workload benchmark and its application.
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ISBN 10: 3642380697
ISBN 13: 9783642380693
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces the first realistic benchmark that can be used by companies to evaluate hybrid OLTP and OLAP systemsA detailed description of database models helps the reader to understand the challenge of reuniting OLTP and OLAPThe re. Codice articolo 5058847
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