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UID:calendar.7276.field_data.0@www.diag.uniroma1.it
DTSTAMP:20260416T153158Z
CREATED:20160331T150354Z
DESCRIPTION:The blooming of different cloud data management infrastructures
 \, specialized for different kinds of data and tasks\, has led to a wide d
 iversification of DBMS interfaces and the loss of a common programming par
 adigm. In this talk\, we present the design of a Cloud Multidatastore Quer
 y Language (CloudMdsQL)\, and its query engine. CloudMdsQL is a functional
  SQL-like language\, capable of querying multiple heterogeneous data store
 s (relational and NoSQL) within a single query that may contain embedded i
 nvocations to each data store’s native query interface. The query engine h
 as a fully distributed architecture\, which provides important opportuniti
 es for optimization. The major innovation is that a CloudMdsQL query can e
 xploit the full power of local data stores\, by simply allowing some local
  data store native queries (e.g. a breadth-first search query against a gr
 aph database) to be called as functions\, and at the same time be optimize
 d\, e.g. by pushing down select predicates\, using bind join\, performing 
 join ordering\, or planning intermediate data shipping. Our experimental v
 alidation\, with three data stores (graph\, document and relational) and r
 epresentative queries\, shows that CloudMdsQL satisfies the five important
  requirements for a cloud multidatastore query language.[1] Work partially
  funded by the European Commission under the Integrated Project CoherentPa
 aS.Bio. Patrick Valduriez (http://www-sop.inria.fr/members/valduriez) is a
  senior researcher at Inria and LIRMM\, University of Montpellier\, France
 . He has also been a professor of Computer Science at University Paris 6 a
 nd a researcher at Microelectronics and Computer Technology Corp. in Austi
 n\, Texas. He received his Ph. D. degree and Doctorat d'Etat in CS from Un
 iversity Paris 6 in 1981 and 1985\, respectively. He is the head of the Ze
 nith team (between Inria and University of Montpellier\, LIRMM) that focus
 es on data management in large-scale distributed and parallel systems (P2P
 \, cluster\, grid\, cloud)\, in particular\, scientific data management. H
 e has authored and co-authored over 250 technical papers and several textb
 ooks\, among which “Principles of Distributed Database Systems”. He curren
 tly serves as associate editor of several journals\, including the VLDB Jo
 urnal\, Distributed and Parallel Databases\, and Internet and Databases. H
 e has served as PC chair of major conferences such as SIGMOD and VLDB. He 
 was the general chair of SIGMOD04\, EDBT08 and VLDB09. He obtained the bes
 t paper award at VLDB00. He was the recipient of the 1993 IBM scientific p
 rize in Computer Science in France and the 2014 Innovation Award from Inri
 a – French Academy of Science – Dassault Systems. He is an ACM Fellow.
DTSTART;TZID=Europe/Paris:20160420T143000
DTEND;TZID=Europe/Paris:20160420T143000
LAST-MODIFIED:20191011T065610Z
LOCATION:Aula Magna DIAG
SUMMARY:The CloudMdsQL Multistore System* - Patrick Valduriez
URL;TYPE=URI:https://www.diag.uniroma1.it/node/7276
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