METHODS TO MANAGE HETEROGENEOUS BIG DATA AND POLYSTORE DATABASES
Co-located with the 2017 IEEE International Conference on Big Data
Co-located with the 2017 IEEE International Conference on Big Data
Enterprises today must provide data management solutions for large, heterogeneous datasets that are often the amalgamation of disparate data exposed through multiple programming models. Developing analytics over such complexity runs head-on into the famous adage that “one size does not fit all”. Traditional database management systems (DBMSs) provide high performance solutions for parts of the data, but it is unlikely that any single engine can provide high performance access to all parts of complex, heterogeneous datasets. New approaches such as polystore databases show promise for addressing heterogeneous datasets; exposing complete functionality of underlying DBMSs with their distinct query notations or languages.
At IEEE Big Data 2016, we organized the first ever workshop on Polystore systems. We brought together experts from around the world and presented novel advances in the field. In the second version of this workshop, we will continue to build a community around polystore systems and other novel techniques for managing and computing over heterogeneous data.
October 17, 2017 October 10, 2017: Due date for full workshop papers submission
November 6, 2017: Notification of paper acceptance to authors
November 20, 2017 November 15, 2017: Camera-ready of accepted papers
December 11 2017 (8am-Noon): Workshop