Relational Programming

dc.contributor.advisorSuciu, Dan
dc.contributor.authorWang, Yisu
dc.date.accessioned2023-09-27T17:19:14Z
dc.date.available2023-09-27T17:19:14Z
dc.date.issued2023-09-27
dc.date.submitted2023
dc.descriptionThesis (Ph.D.)--University of Washington, 2023
dc.description.abstractRelational databases have become one of the most important software components in the world, ubiquitous in computing systems from smartphones to data centers. Nevertheless, traditional relational databases are struggling to meet the demands of modern data analytics, which involve more and more complex computation over an increasing variety of data. In this dissertation, we reinvigorate relational data processing with a new language foundation for writing relational programs, a new algorithm for the relational join, and techniques to optimize relational queries. We extend the reach of the relational paradigm in both expressiveness and efficiency, ushering a new era of relational programming.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherWang_washington_0250E_26111.pdf
dc.identifier.urihttp://hdl.handle.net/1773/50757
dc.language.isoen_US
dc.rightsnone
dc.subject
dc.subjectComputer science
dc.subject.otherComputer science and engineering
dc.titleRelational Programming
dc.typeThesis

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