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Dr. Haas' research explores the integration of diverse types of data in the service of accelerating new discoveries from data. She is best known for her work on the Starburst query processor, from which IBM's DB2 LUW extended relational database system was developed; on Garlic, a federated system allowing easy integration of heterogeneous data sources; and on Clio, the first semi-automatic tool for heterogeneous schema mapping. Most recently, she founded IBM Research's Accelerated Discovery Lab, a unique environment dedicated to (1) enabling research in and improvements to the tools and systems that facilitate analysis of data, and (2) enabling the business person or domain expert to focus on their investigation instead of the systems and data challenges.
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user-5fe1a78c4c775e6ec07359f9(2019)
SIGMOD/PODS'15: International Conference on Management of Data
Melbourne
Victoria
Australia
May, 2015pp.661-661, (2015)
ACM SIGMOD Recordno. 2 (2014): 41-48
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