Show simple item record

dc.contributor.authorSimitsis, Alkis
dc.contributor.authorWilkinson, Kevin
dc.contributor.authorJovanovic, Petar
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2013-09-25T12:46:30Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationSimitsis, A.; Wilkinson, K.; Jovanovic, P. xPAD: A platform for analytic data flows. A: ACM SIGMOD Conference. "Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data". 2013, p. 1109-1112.
dc.identifier.isbn978-1-4503-2037-5
dc.identifier.urihttp://hdl.handle.net/2117/20200
dc.description.abstractAs enterprises become more automated, real-time, and data-driven, they need to integrate new data sources and specialized processing engines. The traditional business intelligence architecture of Extract-Transform-Load (ETL) flows, followed by querying, reporting, and analytic operations, is being generalized to analytic data flows that utilize a variety of data types and operations. These complicated flows are difficult to design, implement and maintain since they span a variety of systems. Additionally, new design requirements may be imposed such as design for fault-tolerance, freshness, maintainability, sampling, etc. To reduce development time and maintenance costs, automation is needed. We present xPAD, our platform to manage analytic data flows. xPAD enables flow design. We show how these designs can be optimized, not just for performance, but for other objectives as well. xPAD is engine-agnostic. We show how it can generate executable code for a number of execution engines. It can also import existing flows from other engines and optimize those flows. In that way, it can transform a flow written for one engine into an optimized flow for a different engine. In our demonstration, we will also use various example flows to show optimization for different objectives and comparison of flow execution on different engines.
dc.format.extent4 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshData flow computing
dc.titlexPAD: A platform for analytic data flows
dc.typeConference report
dc.subject.lemacFlux de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació
dc.identifier.doi10.1145/2463676.2465247
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://dl.acm.org/results.cfm?h=1&cfid=363179934&cftoken=56883250
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12771593
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorSimitsis, A.; Wilkinson, K.; Jovanovic, P.
local.citation.contributorACM SIGMOD Conference
local.citation.publicationNameProceedings of the 2013 ACM SIGMOD International Conference on Management of Data
local.citation.startingPage1109
local.citation.endingPage1112


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder