TY - GEN
T1 - POLYTICS
T2 - 33rd IEEE International Conference on Data Engineering, ICDE 2017
AU - Bourhis, Pierre
AU - Deutch, Daniel
AU - Moskovitch, Yuval
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/16
Y1 - 2017/5/16
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85021226313
U2 - 10.1109/ICDE.2017.183
DO - 10.1109/ICDE.2017.183
M3 - Conference contribution
AN - SCOPUS:85021226313
T3 - Proceedings - International Conference on Data Engineering
SP - 1373
EP - 1374
BT - Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
PB - IEEE Computer Society
Y2 - 19 April 2017 through 22 April 2017
ER -