Enterprises today are faced with the challenge of providing data management solutions for large, heterogeneous datasets that are often the amalgamation of disparate data and programming models. Developing analytics that can use the content of such datasets requires solutions that leverage many “sizes.” Parallel database management systems (DBMSs) and federated DBMSs may 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 datasets. New techniques such as polystore databases show promise in supporting heterogeneous datasets by supporting complete functionality of underlying DBMSs, and multiple query notations or languages.
In this workshop, we will bring together experts in the field to discuss how novel techniques for managing heterogeneous data such as polystore databases can be applied to highly diverse datasets.