CALL FOR PAPERS Poly'21: Polystore systems for heterogeneous data in multiple databases with privacy and security assurances Co-located with VLDB 2021 Conference date: August 16, 2021 Location: Virtual (probably) Website: https://sites.google.com/view/poly21/home Important Dates: June 1, 2021: Due date for full workshop papers submission June 15, 2021: Notification of paper acceptance to authors July 20, 2021: Workshop Presentation August 20, 2021: Workshop (virtual) August 20, 2021: Camera Ready Version of Article Introduction: Enterprises are routinely divided into independent business units to support agile operations. However, this leads to "siloed" information systems. Such silos generate a host of problems, such as: -DISCOVERY of relevant data to a problem at hand. For example: Merck has 4000 (+/-) Oracle databases, a data lake, large numbers of files and an interest in public data from the web. Finding relevant data in this sea of information is a challenge. -INTEGRATING the discovered data. Independently constructed schemas are never compatible. -CLEANING the resulting data. A good figure of merit is that 10% of all data is missing or wrong. -ENSURING EFFICIENT ACCESS to resulting data. At scale operations must be performed "in situ", and a good polystore system is a requirement It is often said that data scientists spent 80% (or more) of their time on these tasks, and it is crucial to have better solutions. In addition, the EU has recently enacted GDPR that will force enterprises to assuredly delete personal data on request. This "right to be forgotten" is one of several requirements of GDPR, and it is likely that GDPR-like requirements will spread to other locations, for example, California. In addition, privacy and security issues are increasingly an issue for large internet platforms. In enterprises, these issues will be front and center in the distributed information systems in place today. Lastly, enterprise access to data in practice will require queries constructed from a variety of programming models. A "one size fits all" mentality just won't work in these cases. At IEEE BigData'16, BigData'17, VLDB'18, VLDB'19, and VLDB’20 we organized workshops on Polystore systems. These successful workshops brought together experts from around the world working on novel advances in the field. Poly'21 will continue to focus on the broader real-world polystore problem, which includes data management, data integration, data curation, privacy, and security. In the past, conference proceedings have been published as a part of the Springer Lecture Notes in Computer Science. This year's workshop will be virtual. Research topics included in the workshop: Privacy, Security, and Policy in heterogeneous data management. Languages/Models for integrating disparate data such as graphs, arrays, relations Query evaluation and optimization in polystore and other multi-DBMS systems Efficient data movement and scheduling, failures and recovery for polystore analytics High Performance/Parallel Computing Platforms for Big Data Data Discovery, Integration, Cleaning, and Best Practices Privacy and Access control in Polystore and multi-DBMS systems Enterprise support for GDPR and similar privacy regulations Policy implications of GDPR and similar privacy regulations Mathematics for Polystore and other multi-DBMS systems Demonstrations of new tools and techniques for heterogeneous data We welcome submissions from various communities to exchange ideas and foster interactions that could advance state-of-the-art polystore systems and their supporting applications. Poly’21 features three types of submissions: (1) work-in-progress efforts; (2) position papers; (3) regular research papers; and (4) Lightning talks: A 2-page paper that briefly presents an interesting finding or idea. Submissions: Please visit: https://sites.google.com/view/poly21/submission Workshop Organizers: Vijay Gadepally, MIT Lincoln Laboratory El Kindi Rezig, MIT CSAIL Tim Kraska, MIT CSAIL Timothy Mattson, Intel Corporation Michael Stonebraker, MIT CSAIL