Senior Research Scientist

Rick Cole

About

Rick Cole is a Research Scientist at Tableau Software where his focus is on the intersection of database query processing and visual analysis. Current research areas involve query processing in Tableau’s data ecosystem, such as machine learning and data sketching for query optimization, error analysis via fine-grained data lineage, and interactive query visualization.

Rick earned his PhD and MS degrees from the University of Colorado at Boulder, where he was a member of the Volcano project for research into efficient, extensible tools for query processing. His research explored the optimization of dynamic query evaluation plans for robust query performance.

Rick has over 30 years of experience in databases, query processing, and query optimization. Before joining Tableau, he co-founded Bright Vine, a data integration startup for cooperative analytics in diverse big data ecosystems. At ParAccel, he led development of a new query optimization framework. Prior to ParAccel, he was a technical leader at IBM, Informix Software, and Red Brick Systems.

Focus

Databases
Query Processing
Query Optimization
Visual Analysis for Queries

Helping people see and understand queries.

Papers

Optimizing Query Execution (Anonymized Title)

Daniel Ting, Rick Cole

Submitted to SIGMOD 2020 (Portland, OR, USA, June 14 - June 19, 2020)

Learning to Optimize Federated Queries

Liqi Xu, Richard L. Cole, Daniel Ting

aiDM at SIGMOD 2019 (Amsterdam, The Netherlands, June 30 - July 5, 2019)

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The mixed workload CH-benCHmark

Richard L. Cole, Florian Funke, Leo Giakoumakis, Wey Guy, Alfons Kemper, Stefan Krompass, Harumi Kuno, Raghunath Nambiar, Thomas Neumann, Meikel Poess, Kai-Uwe Sattler, Michael Seibold, Eric Simon, and Florian Waas.

In Proceedings of the Fourth International Workshop on Testing Database Systems (DBTest '11).

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Partial Join Order Optimization in the ParAccel Analytic Database

Yijou Chen, Richard L. Cole, William J. McKenna, Sergei Perfilov, Aman Sinha, and Eugene Szedenits, Jr.

In Proceedings of the 2009 ACM SIGMOD International Conference on Management of data (SIGMOD '09).

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Aggregate Maintenance for Data Warehousing in Informix Red Brick Vista

Craig J. Bunker, Latha S. Colby, Richard L. Cole, William J. McKenna, Gopal Mulagund, and David Wilhite.

In Proceedings of the 27th International Conference on Very Large Data Bases (VLDB '01).

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A Decision Theoretic Cost Model for Dynamic Plans

Richard L. Cole.

In IEEE Bulletin of the Technical Committee on Data Engineering, Vol. 23, No. 2, June 2000.

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Redbrick Vista: Aggregate Computation and Management

Latha S. Colby, Richard L. Cole, Edward Haslam, Nasi Jazayeri, Galt Johnson, William J. McKenna, Lee Schumacher, and David Wilhite.

In Proceedings of the Fourteenth International Conference on Data Engineering (ICDE '98).

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Fast Algorithms for Universal Quantification in Large Databases

Goetz Graefe and Richard L. Cole.

In ACM Transactions on Database Systems, 20, 2 (June 1995).

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Optimization of Dynamic Query Evaluation Plans

Richard L. Cole and Goetz Graefe.

In Proceedings of the 1994 ACM SIGMOD international conference on Management of data (SIGMOD '94).

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Query Processing in the IBM Application System/400

Richard L. Cole, Mark J. Anderson, and Robert J. Bestgen.

In IEEE Bulletin of the Technical Committee on Data Engineering, Vol. 16, No. 4, December 1993.

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