Enterprises must deliver data management solutions for large, heterogeneous datasets often composed of disparate data with queries constructed from a variety of programming models. A “one size fits all” mentality just won’t work in these cases. Parallel database management systems (DBMSs) help with performance and federated DBMSs support heterogeneity, but no single engine can support these complex datasets for any but the simplest problems.
In response, new multi-DBMS systems such as Polystore systems have been proposed. These systems combine individual DBMSs, each suited to the needs of a portion of the dataset, into a single system. They are designed to support heterogeneous datasets but do so in a way that exposes the complete functionality and programming models of underlying DBMSs.
At IEEE Big Data’16, BigData’17 we organized workshops on Polystore systems. These successful workshops brought together experts from around the world working on novel advances in the field. Poly’18 will focus on growing a larger and more diverse research agenda around data system solutions for heterogeneous data.
June 15, 2018: Due date for full workshop papers submission
June 30, 2018: Notification of paper acceptance to authors
July 10, 2018: Camera ready version of workshop papers
August 31, 2018: Workshop