Daniel Abadi
Education
OccupationProfessor of Computer Science at University of Maryland, College Park[1]
AwardsSloan Fellowship (2011)
ACM Fellow (2020)
Scientific career
FieldsComputer Science
InstitutionsYale University
University of Maryland, College Park
ThesisQuery Execution in Column-Oriented Database Systems (2008)
Doctoral advisorSamuel Madden
Websitewww.cs.umd.edu/~abadi/

Daniel Abadi is the Darnell-Kanal Professor of Computer Science at University of Maryland, College Park.[2] His primary area of research is database systems, with contributions to stream databases, distributed databases, graph databases, and column-store databases.[3] He helped create C-Store, a column-oriented database, and HadoopDB, a hybrid of relational databases and Hadoop. Both database systems were commercialized by companies.

Abadi was the first to describe the PACELC theorem in a 2010 blog post. PACELC, a response to the CAP theorem, was proved formally in 2018 in a SIGACT News article.[4]

Education and career

Abadi obtained a Bachelor of Science degree in Computer Science and Neuroscience from Brandeis University in 2002. A year later, he graduated from Cambridge University with a master's degree in Computer Speech, Text, and Internet Technology. He then pursued a PhD at Massachusetts Institute of Technology, where he was advised by Samuel Madden.[5] At MIT, Abadi collaborated with several researchers to propose C-Store, a column-oriented database. C-Store was commercialized by Vertica and eventually acquired by Hewlett-Packard.[6] Abadi obtained his PhD degree in 2007, writing a dissertation titled Query Execution in Column-Oriented Database Systems.[7][5]

He became an assistant professor at Yale University in 2007 and subsequently an associate professor in 2012.[7] In 2010, a company named Hadapt commercialized his research on HadoopDB, a hybrid of relational databases and Hadoop.[6] Hadapt was acquired by Teradata in 2014.[8]

In 2017, he joined University of Maryland, College Park as the Darnell/Kanal Professor in Computer Science.[7]

Awards and recognitions

Abadi's 2008 dissertation Query Execution in Column-Oriented Database Systems received a SIGMOD Jim Gray Doctoral Dissertation Award in 2009. Two PhD students advised by him, Alexander Thomson and Jose Faleiro, also received this award for their dissertations.[9]

He received a NSF CAREER award in 2009 and a Sloan Fellowship in 2011.[10][11]

Abadi received VLDB's best paper award in 2007 for Scalable Semantic Web Data Management Using Vertical Partitioning and test of time award in 2015 and 2019 for C-Store: A Column-oriented DBMS and HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads, respectively.[12][13]

He was selected as an ACM Fellow in 2020 "for contributions to stream databases, distributed databases, graph databases, and column-store databases".[3]

References

  1. ↑ "Daniel Abadi". www.cs.umd.edu.
  2. ↑ "Daniel Abadi named Darnell-Kanal Professor of Computer Science". www.cs.umd.edu. 2017-01-26. Retrieved 2021-04-12.
  3. 1 2 "2020 ACM Fellows Recognized for Work that Underpins Today's Computing Innovations". Association of Computing Machinery. Retrieved 2021-04-12.
  4. ↑ Golab, Wojciech (2018). "Proving PACELC". ACM SIGACT News. 49: 73–81. doi:10.1145/3197406.3197420. S2CID 3989621.
  5. 1 2 Abadi, Daniel (2008). Query execution in column-oriented database systems (PhD thesis). Massachusetts Institute of Technology.
  6. 1 2 Yu, Sherwin (2012-03-14). "Hadapt: Yale Startup – Yale Scientific Magazine". Yale Scientific Magazine. Retrieved 2023-11-20.
  7. 1 2 3 "College Welcomes 15 New Faculty Members this Fall". University of Maryland College of Computer, Mathematical, and Natural Sciences. 2017-09-29. Retrieved 2023-11-20.
  8. ↑ Novet, Jordan (2014-07-22). "Teradata grabs startups Hadapt & Revelytix that make Hadoop easier". VentureBeat. Retrieved 2023-11-20.
  9. ↑ "SIGMOD Jim Gray Doctoral Dissertation Award". SIGMOD Website. Retrieved 2023-11-17.
  10. ↑ "CAREER: Architecting A Database Management System for Semantic Web Data". National Science Foundation. Retrieved 2023-11-17.
  11. ↑ "Fellows Database". Alfred P. Sloan Foundation. Retrieved 2023-11-17.
  12. ↑ "VLDB 2007 Best Paper Awards". Very Large Databases Endowment. Retrieved 2023-11-17.
  13. ↑ "VLDB Test of Time Award". www.vldb.org. Retrieved 2021-04-12.
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