ADAM DZIEDZIC

Interactive analytics requires low latency queries in the presence of diverse, complex, and constantly evolving workloads. To address these challenges, we introduce a polystore, BigDAWG, that tightly couples diverse database systems, data models, and query languages through use of semantically grouped Islands of Information. BigDAWG, which stands for the Big Data Working Group, seeks to provide location transparency by matching the right system for each workload using black-box model of query and system performance. In this paper we introduce BigDAWG as a solution to diverse web-based interactive applications and motivate our key challenges in building BigDAWG. BigDAWG continues to evolve and, where applicable, we have noted the current status of its implementation... In most Big Data applications, the data is heterogeneous. As we have been arguing in a series of papers, storage engines should be well suited to the data they hold. Therefore, a system supporting Big Data applications..