POLYTICS: Provenance-based analytics of data-centric applications

Pierre Bourhis, Daniel Deutch, Yuval Moskovitch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


We consider in this demonstration the analysis of complex data-intensive applications. We focus on three classes of analytical questions that are important for application owners and users alike: Why was a result obtained? What would be the result if the application logic or database is modified in a particular way? How can one interact with the application to achieve a particular goal? Answering these questions efficiently is a fundamental step towards optimizing the application and its use. Noting that provenance was a key component in answering similar questions in the context of database queries, we have developed POLYTICS, a system that employs novel provenance-based solutions for these analytic questions for data-centric applications. We propose to demonstrate POLYTICS using an online bicycle shop application as an example, letting participants play the role of both analysts and users.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
PublisherInstitute of Electrical and Electronics Engineers
Number of pages2
ISBN (Electronic)9781509065431
StatePublished - 16 May 2017
Externally publishedYes
Event33rd IEEE International Conference on Data Engineering, ICDE 2017 - San Diego, United States
Duration: 19 Apr 201722 Apr 2017

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627


Conference33rd IEEE International Conference on Data Engineering, ICDE 2017
Country/TerritoryUnited States
CitySan Diego

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems


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