2008 - ACM Software System Award For Gamma, the first embodiment of a parallel, "shared nothing" database system running on a cluster of commodity computers, using data partitioning and innovative parallel query execution strategies.
2007 - Fellow of the American Academy of Arts and Sciences
1998 - Member of the National Academy of Engineering For the theory and construction of database systems.
1995 - ACM Fellow For fundamental contributions to the areas of parallel database systems, database system benchmarking, and object-oriented database systems, and for outstanding service as an educator and a technical leader.
His main research concerns Database, Parallel computing, Database design, Relational database and View. David J. DeWitt specializes in Database, namely Scalability. His work deals with themes such as Data model and Relational database management system, which intersect with Database design.
His research investigates the connection between Relational database management system and topics such as Database model that intersect with issues in Oracle. His study in the field of Database machine is also linked to topics like Tuple. His View study deals with Query language intersecting with RDF query language, XML, XML schema, Binary XML and Document type definition.
David J. DeWitt mainly focuses on Database, Data mining, Parallel computing, Database design and Query optimization. His study in View, Database tuning, Relational database management system, Database machine and SQL is carried out as part of his studies in Database. In his study, File system and Class is inextricably linked to Scalability, which falls within the broad field of Data mining.
His work on Multiprocessing, Parallel database, Cache and Parallelism as part of general Parallel computing study is frequently linked to Tuple, therefore connecting diverse disciplines of science. His Query optimization study integrates concerns from other disciplines, such as Query language, Web search query, Sargable and Query expansion. His work carried out in the field of Query language brings together such families of science as Spatial query and Web query classification.
His scientific interests lie mostly in Database, Scalability, Data mining, Data management and Distributed computing. David J. DeWitt incorporates Database and Tuple in his studies. His studies deal with areas such as Database index, Search engine indexing and Anonymity as well as Data mining.
His Data management study also includes fields such as
His primary scientific interests are in Database, Data mining, Scalability, SQL and Data management. His work on Data model as part of his general Database study is frequently connected to Turbocharger, thereby bridging the divide between different branches of science. David J. DeWitt has included themes like Workload, Factor and Anonymity in his Data mining study.
The study incorporates disciplines such as Big data, Database index, Search engine indexing and Table in addition to Scalability. The SQL study which covers Relational database management system that intersects with Language Integrated Query, Query by Example, Unstructured data, Query language and Spatial query. David J. DeWitt combines subjects such as Database theory, Database design, Database testing, Physical data model and Data science with his study of Data management.
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Parallel database systems: the future of high performance database systems
David DeWitt;Jim Gray.
Communications of The ACM (1992)
The Object-Oriented Database System Manifesto.
Malcolm P. Atkinson;François Bancilhon;David J. DeWitt;Klaus R. Dittrich.
Relational Databases for Querying XML Documents: Limitations and Opportunities
Jayavel Shanmugasundaram;Kristin Tufte;Chun Zhang;Gang He.
very large data bases (1999)
NiagaraCQ: a scalable continuous query system for Internet databases
Jianjun Chen;David J. DeWitt;Feng Tian;Yuan Wang.
international conference on management of data (2000)
Incognito: efficient full-domain K-anonymity
Kristen LeFevre;David J. DeWitt;Raghu Ramakrishnan.
international conference on management of data (2005)
A comparison of approaches to large-scale data analysis
Andrew Pavlo;Erik Paulson;Alexander Rasin;Daniel J. Abadi.
international conference on management of data (2009)
Mondrian Multidimensional K-Anonymity
K. LeFevre;D.J. DeWitt;R. Ramakrishnan.
international conference on data engineering (2006)
On supporting containment queries in relational database management systems
Chun Zhang;Jeffrey Naughton;David DeWitt;Qiong Luo.
international conference on management of data (2001)
Implementation techniques for main memory database systems
David J DeWitt;Randy H Katz;Frank Olken;Leonard D Shapiro.
international conference on management of data (1984)
The Gamma database machine project
D.J. DeWitt;S. Ghandeharizadeh;D.A. Schneider;A. Bricker.
IEEE Transactions on Knowledge and Data Engineering (1990)
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