2020 - ACM Fellow For contributions to distributed databases, column-store databases, deterministic databases, graph databases, and stream databases
2011 - Fellow of Alfred P. Sloan Foundation
Daniel J. Abadi spends much of his time researching Database, Distributed computing, Scalability, Set and Data management. His study ties his expertise on World Wide Web together with the subject of Database. His Distributed computing research integrates issues from Emphasis and Unstructured data.
His Scalability study integrates concerns from other disciplines, such as Paxos, Distributed transaction, Distributed database and Massively parallel. His work deals with themes such as Quality of service, Wireless sensor network, View and Data stream management system, which intersect with Set. Daniel J. Abadi interconnects RDF, Semantic Web, Linked data, RDF Schema and SPARQL in the investigation of issues within Data management.
His primary areas of study are Database, Distributed computing, Scalability, Online transaction processing and Database transaction. Column, View, Data management, Transaction processing system and Data warehouse are the subjects of his Database studies. His Data warehouse research incorporates elements of Stream processing and Relational database management system.
Many of his research projects under Distributed computing are closely connected to Throughput with Throughput, tying the diverse disciplines of science together. His Scalability study integrates concerns from other disciplines, such as Parallel database, Wireless sensor network, Fault tolerance and Big data. As part of the same scientific family, Daniel J. Abadi usually focuses on Online transaction processing, concentrating on Distributed transaction and intersecting with Replication, Consistency and Rollback.
His primary scientific interests are in Database, Online transaction processing, Transaction processing, Database transaction and Distributed computing. His study in Database focuses on Relational database management system in particular. His Online transaction processing research incorporates elements of Data warehouse and Stream processing.
His Transaction processing system study in the realm of Transaction processing interacts with subjects such as Data architecture. Daniel J. Abadi usually deals with Database transaction and limits it to topics linked to Thread and Scalability. His Distributed computing study frequently draws connections between related disciplines such as Isolation.
Daniel J. Abadi focuses on Relational database management system, Database research, World Wide Web, Big data and Set partitioning in hierarchical trees. His Relational database management system research includes elements of Online transaction processing, Data warehouse, Stream processing and Code. Set partitioning in hierarchical trees is connected with Vertex, Parallel computing, Graph partition, Theoretical computer science and Space partitioning in his study.
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Aurora: a new model and architecture for data stream management
Daniel J. Abadi;Don Carney;Ugur Çetintemel;Mitch Cherniack.
very large data bases (2003)
The Design of the Borealis Stream Processing Engine
Daniel J. Abadi;Yanif Ahmad;Magdalena Balazinska;Mitch Cherniack.
conference on innovative data systems research (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)
Aurora: a data stream management system
D. Abadi;D. Carney;U. Çetintemel;M. Cherniack.
international conference on management of data (2003)
C-store: a column-oriented DBMS
Mike Stonebraker;Daniel J. Abadi;Adam Batkin;Xuedong Chen.
very large data bases (2005)
HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for analytical workloads
Azza Abouzeid;Kamil Bajda-Pawlikowski;Daniel Abadi;Avi Silberschatz.
very large data bases (2009)
Scalable semantic web data management using vertical partitioning
Daniel J. Abadi;Adam Marcus;Samuel R. Madden;Kate Hollenbach.
very large data bases (2007)
Data Management in the Cloud: Limitations and Opportunities.
Daniel J. Abadi.
IEEE Data(base) Engineering Bulletin (2009)
Integrating compression and execution in column-oriented database systems
Daniel Abadi;Samuel Madden;Miguel Ferreira.
international conference on management of data (2006)
Column-stores vs. row-stores: how different are they really?
Daniel J. Abadi;Samuel R. Madden;Nabil Hachem.
international conference on management of data (2008)
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