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010   $a3-642-38070-0
024 7 $a10.1007/978-3-642-38070-9
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035   $a(SSID)ssj0000962527
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035   $a(PQKBTitleCode)TC0000962527
035   $a(PQKBWorkID)10969409
035   $a(PQKB)11358337
035   $a(MiAaPQ)EBC1398780
035   $a(DE-He213)978-3-642-38070-9
035   $a(PPN)172426758
035   $a(EXLCZ)992670000000422252
100   $a20130621d2013      uy         0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt
182   $cc
183   $acr
200 10$aBenchmarking transaction and analytical processing systems $ethe creation of a mixed workload benchmark and its application /$fAnja Bog
205   $a1st ed. 2014.
210   $aHeidelberg ;$aNew York $cSpringer$d2013
215   $axii, 164 p. $cill
225 0 $aIn-memory data management research
300   $aIncludes bibliographical references.
311 08$a3-642-42994-7 
311 08$a3-642-38069-7 
327   $aIntroduction -- 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.
330   $aSystems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing. Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well. Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.
410  0$aIn-Memory Data Management Research,$x2196-8055
606   $aTransaction systems (Computer systems)
606   $aInformation technology
615  0$aTransaction systems (Computer systems)
615  0$aInformation technology.
676   $a650
676   $a658.05
700   $aBog$b Anja$01064013
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910298530603321
996   $aBenchmarking Transaction and Analytical Processing Systems$92535898
997   $aUNINA