Poly'20:
Polystore systems for heterogeneous data in multiple databases with privacy and security assurances
Co-located with VLDB 2020
Program Link:
Zoom Link:
Slack Link:
Registration Link (free for participants): https://tokyo.vldb2020.org/
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Update (6/15/20)
The workshop will occur virtually - instructions on how to participate to be updated. We are still looking forward to a robust workshop!
Update (5/12/20)
Deadlines have been extended - see below.
Update (5/5/20)
We are monitoring VLDB 2020 changes (https://vldb2020.org/) related to Covid-19 (SARS-CoV-2). Our workshop will still occur virtually and submission deadlines will be extend to give authors ample time for submissions.
Introduction:
(in case of COVID-19 related travel challenges, virtual options will be available)
Enterprises are routinely divided into independent business units to support agile operation. 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” [1] mentality just won’t work in these cases.
At IEEE BigData’16, BigData’17, VLDB’18, and VLDB’19 we organized workshops on Polystore systems. These successful workshops brought together experts from around the world working on novel advances in the field. Poly’20 will continue to focus on the broader real-world polystore problem, which includes data management, data integration, data curation, privacy and security.
Research topics:
Privacy, Security, and Policy in heterogenous 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 Acquisition, 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
Important Dates
(extended as of 5/12/2020)
July 15, 2020 June 1, 2020: Due date for full workshop papers submission
August 1, 2020 June 15, 2020: Notification of paper acceptance to authors
August 17, 2020 July 20, 2020: Workshop Presentation
August 31, 2020: Workshop (virtual)
August 31, 2020: Camera Ready Version of Article
Submission page
https://cmt3.research.microsoft.com/POLY2020/