Paris Descartes University Seminar Series on Data Analytics
in collaboration with the diNo group

Invited Seminar Talk

HIFUN - A High Level Functional Query Language for Big Data Analytics
Prof Nicolas Spyratos, University of Paris-South (France)

when: 23 May 2019, 2pm
where: room Turing Reunion, 7th floor, Paris Descartes University, 45 Rue Des Saints Peres, Paris 75006


We present HIFUN, a high level query language for defining analytic queries, independently of how these queries are evaluated. We use four operations on functions, namely composition, pairing, function restriction and Cartesian product projection. These operations combine functions to create HIFUN queries in much the same way as the operations of the relational algebra combine relations to create algebraic queries. The contributions of this work are: (a) the definition of a formal framework in which to study analytic queries in the abstract; (b) the encoding of HIFUN queries either as Map Reduce jobs or as SQL group-by queries; and (c) the definition of a formal method for rewriting HIFUN queries and its mapping to rewriting Map Reduce jobs and SQL group-by queries.

Short Bio

Nicolas Spyratos is an Emeritus Professor at the University of Paris-South, Scientific Advisor of the Japan Science and Technology agency (JST) and member of the National Council of Research and Innovation of Greece. Prior main assignments include being full professor of Computer Science at the University of Paris-South (1983-2011), Researcher at INRIA and then scientific advisor (1976-1985) and researcher at the Canadian Bell-Labs (Bell Northern Research, 1974-1976). His research interests include database theory, conceptual modeling, digital libraries and more recently data analytics. He has published extensively in international journals and conferences in his areas of research.

Hosted by: Themis Palpanas

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