New TPC benchmarks for decision support and web commerce
ACM SIGMOD Record
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom
TPC-DS, taking decision support benchmarking to the next level
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VLDB '05 Proceedings of the 31st international conference on Very large data bases
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VLDB '05 Proceedings of the 31st international conference on Very large data bases
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Generating targeted queries for database testing
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Brighthouse: an analytic data warehouse for ad-hoc queries
Proceedings of the VLDB Endowment
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CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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TPCTC'10 Proceedings of the Second TPC technology conference on Performance evaluation, measurement and characterization of complex systems
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Information Systems Frontiers
Peak power plays in database engines
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BigBench: towards an industry standard benchmark for big data analytics
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
A multidimensional data model for TPC-DS benchmarking
Proceedings of the 5th Asia-Pacific Symposium on Internetware
Meet the walkers: accelerating index traversals for in-memory databases
Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture
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The Transaction Processing Performance Council (TPC) is completing development of TPC-DS, a new generation industry standard decision support benchmark. The TPC-DS benchmark, first introduced in the "The Making of TPC-DS" [9] paper at the 32nd International Conference on Very Large Data Bases (VLDB), has now entered the TPC's "Formal Review" phase for new benchmarks; companies and researchers alike can now download the draft benchmark specification and tools for evaluation. The first paper [9] gave an overview of the TPC-DS data model, workload model, and execution rules. This paper details the characteristics of different phases of the workload, namely: database load, query workload and data maintenance; and also their impact to the benchmark's performance metric. As with prior TPC benchmarks, this workload will be widely used by vendors to demonstrate their capabilities to support complex decision support systems, by customers as a key factor in purchasing servers and software, and by the database community for research and development of optimization techniques.