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- research-articleJune 2014
Opportunistic physical design for big data analytics
- Jeff LeFevre,
- Jagan Sankaranarayanan,
- Hakan Hacigumus,
- Junichi Tatemura,
- Neoklis Polyzotis,
- Michael J. Carey
SIGMOD '14: Proceedings of the 2014 ACM SIGMOD International Conference on Management of DataPages 851–862https://doi.org/10.1145/2588555.2610512Big data analytical systems, such as MapReduce, perform aggressive materialization of intermediate job results in order to support fault tolerance. When jobs correspond to exploratory queries submitted by data analysts, these materializations yield a ...
- research-articleJune 2014
MISO: souping up big data query processing with a multistore system
- Jeff LeFevre,
- Jagan Sankaranarayanan,
- Hakan Hacigumus,
- Junichi Tatemura,
- Neoklis Polyzotis,
- Michael J. Carey
SIGMOD '14: Proceedings of the 2014 ACM SIGMOD International Conference on Management of DataPages 1591–1602https://doi.org/10.1145/2588555.2588568Multistore systems utilize multiple distinct data stores such as Hadoop's HDFS and an RDBMS for query processing by allowing a query to access data and computation in both stores. Current approaches to multistore query processing fail to achieve the ...
- research-articleJune 2013
Towards a workload for evolutionary analytics
DanaC '13: Proceedings of the Second Workshop on Data Analytics in the CloudPages 26–30https://doi.org/10.1145/2486767.2486773Emerging data analysis involves the ingestion and exploration of new data sets, application of complex functions, and frequent query revisions based on observing prior query answers. We call this new type of analysis evolutionary analytics and identify ...
- tutorialJune 2013
Machine learning for big data
SIGMOD '13: Proceedings of the 2013 ACM SIGMOD International Conference on Management of DataPages 939–942https://doi.org/10.1145/2463676.2465338Statistical Machine Learning has undergone a phase transition from a pure academic endeavor to being one of the main drivers of modern commerce and science. Even more so, recent results such as those on tera-scale learning [1] and on very large neural ...
