2014 - A. M. Turing Award For fundamental contributions to the concepts and practices underlying modern database systems.
2010 - Fellow of the American Academy of Arts and Sciences
2005 - IEEE John von Neumann Medal "For contributions to the design, implementation, and commercialization of relational and object-relational database systems."
1997 - Member of the National Academy of Engineering For development and commercialization of relational and object-relational database systems.
1994 - ACM Fellow The INGRES and System R systems demonstrated that a practical and efficient database management system (DBMS) could be implemented based on the relational data model.
1988 - ACM Software System Award Gerald Held, Michael Stonebraker, Eugene Wong
Michael Stonebraker mainly focuses on Database, Relational database, Distributed computing, Database design and Data science. His study in Database is interdisciplinary in nature, drawing from both Inter-process communication, Computer data storage and Code. His research integrates issues of Programming language, Data integrity, Query optimization and Sargable in his study of Relational database.
His research in Query optimization intersects with topics in Data type and Data structure. His Sargable research includes elements of Query by Example and SQL. When carried out as part of a general Distributed computing research project, his work on Distributed database, Stream processing and Fault tolerance is frequently linked to work in Scale, therefore connecting diverse disciplines of study.
His primary areas of investigation include Database, Data science, Relational database, Distributed computing and Information retrieval. His study in Database design, Online transaction processing, Transaction processing, Data management and Database tuning falls under the purview of Database. Many of his studies involve connections with topics such as Relational database management system and Database design.
Data science is closely attributed to Big data in his study. His Relational database research incorporates themes from Programming language and SQL. Distributed computing is represented through his Distributed database and Stream processing research.
Michael Stonebraker mainly investigates Database, Data science, Analytics, Big data and Data integration. His studies deal with areas such as Operating system and Filter as well as Database. His Data science research integrates issues from Very large database, Key, Data discovery and Data visualization.
The Data integration study combines topics in areas such as Data migration, Data warehouse and Artificial intelligence. His Relational database management system study which covers Orders of magnitude that intersects with Stream processing and Programming language. His work in Middleware covers topics such as Database design which are related to areas like Data stream mining.
Michael Stonebraker spends much of his time researching Database, Programming language, Data science, Online transaction processing and Data integration. The study incorporates disciplines such as Software release life cycle and Operating system, Big data in addition to Database. His research investigates the connection between Programming language and topics such as Code that intersect with issues in Debugger, Stream processing and Orders of magnitude.
His Data science study combines topics in areas such as Bolster, Parsing and Phrase. His Online transaction processing study integrates concerns from other disciplines, such as Distributed computing, Serializability, Distributed transaction, Non-lock concurrency control and Server. In his work, Distributed database is strongly intertwined with Data modeling, which is a subfield of Server.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Aurora: a new model and architecture for data stream management
Daniel J. Abadi;Don Carney;Ugur Çetintemel;Mitch Cherniack.
very large data bases (2003)
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)
C-store: a column-oriented DBMS
Mike Stonebraker;Daniel J. Abadi;Adam Batkin;Xuedong Chen.
very large data bases (2005)
Aurora: a data stream management system
D. Abadi;D. Carney;U. Çetintemel;M. Cherniack.
international conference on management of data (2003)
Monitoring streams: a new class of data management applications
Don Carney;Uǧur Çetintemel;Mitch Cherniack;Christian Convey.
very large data bases (2002)
The design and implementation of INGRES
Michael Stonebraker;Gerald Held;Eugene Wong;Peter Kreps.
ACM Transactions on Database Systems (1976)
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 design of POSTGRES
Michael Stonebraker;Lawrence A. Rowe.
international conference on management of data (1986)
The 8 requirements of real-time stream processing
Michael Stonebraker;Uǧur Çetintemel;Stan Zdonik.
international conference on management of data (2005)
Load shedding in a data stream manager
Nesime Tatbul;Uğur Çetintemel;Stan Zdonik;Mitch Cherniack.
very large data bases (2003)
Profile was last updated on December 6th, 2021.
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