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|a 9783642380709
|9 978-3-642-38070-9
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|a 10.1007/978-3-642-38070-9
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|a Bog, Anja.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Benchmarking Transaction and Analytical Processing Systems
|h [electronic resource] :
|b The Creation of a Mixed Workload Benchmark and its Application /
|c by Anja Bog.
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| 250 |
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|a 1st ed. 2014.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2014.
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|a XIII, 164 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a text file
|b PDF
|2 rda
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|a In-Memory Data Management Research,
|x 2196-8055
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|a Introduction -- Part I: Background of Transactional and Analytical Systems in Logical Database Design and Benchmarking -- Part II: Towards a Benchmark for Mixed Workloads and its Application in Evaluating Database Schemas -- Part III: Implementation, Evaluation, and Discussion -- Part IV: Appendix.
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|a 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.
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|a Information technology.
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|a Business—Data processing.
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|a Database management.
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|a Computers.
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|a Computer system failures.
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|a Computer simulation.
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|a IT in Business.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/522000
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|a Database Management.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18024
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|a Models and Principles.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18016
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| 650 |
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|a System Performance and Evaluation.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I13049
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| 650 |
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|a Simulation and Modeling.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I19000
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783642429941
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| 776 |
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|i Printed edition:
|z 9783642380716
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| 776 |
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|i Printed edition:
|z 9783642380693
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| 830 |
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|a In-Memory Data Management Research,
|x 2196-8055
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|u https://doi.org/10.1007/978-3-642-38070-9
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| 912 |
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|a ZDB-2-SBE
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| 912 |
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|a ZDB-2-SXBM
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| 950 |
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|a Business and Economics (SpringerNature-11643)
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| 950 |
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|a Business and Management (R0) (SpringerNature-43719)
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