[DBWorld] Poly'21@VLDB Call for Papers (extended deadline)

CALL FOR PAPERS


Poly'21: Polystore systems for heterogeneous data in multiple databases wit=
h privacy and security assurances


Co-located with VLDB 2021
Conference date: August 20, 2021
Location: Hybrid
Website: https://sites.google.com/view/poly21/home


Important Dates:

June 30th, 2021: Due date for full workshop papers submission =

July 15th, 2021: Notification of paper acceptance to authors =

August 20th, 2021: Workshop (hybrid)
August 20th, 2021: Camera-ready version of article


Introduction:


Enterprises are routinely divided into independent business units to suppor=
t agile operations. However, this leads to "siloed" information systems. Su=
ch silos generate a host of problems, such as:


-DISCOVERY of relevant data to a problem at hand. For example: Merck has 40=
00 (+/-) Oracle databases, a data lake, large numbers of files and an inter=
est in public data from the web. Finding relevant data in this sea of infor=
mation is a challenge.

-INTEGRATING the discovered data. Independently constructed schemas are nev=
er compatible.

-CLEANING the resulting data. A good figure of merit is that 10% of all dat=
a is missing or wrong.

-ENSURING EFFICIENT ACCESS to resulting data. At scale operations must be p=
erformed "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 t=
o assuredly delete personal data on request. This "right to be forgotten" i=
s one of several requirements of GDPR, and it is likely that GDPR-like requ=
irements will spread to other locations, for example, California. In additi=
on, privacy and security issues are increasingly an issue for large interne=
t platforms. In enterprises, these issues will be front and center in the d=
istributed information systems in place today.


Lastly, enterprise access to data in practice will require queries construc=
ted from a variety of programming models. A "one size fits all" mentality j=
ust won't work in these cases.


At IEEE BigData'16, BigData'17, VLDB'18, VLDB'19, and VLDB=E2=80=9920 we or=
ganized workshops on Polystore systems. These successful workshops brought =
together experts from around the world working on novel advances in the fie=
ld. Poly'21 will continue to focus on the broader real-world polystore prob=
lem, which includes data management, data integration, data curation, priva=
cy, and security. In the past, conference proceedings have been published a=
s a part of the Springer Lecture Notes in Computer Science. This year's wor=
kshop 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, rel=
ations

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 foste=
r interactions that could advance state-of-the-art polystore systems and th=
eir supporting applications. Poly=E2=80=9921 features three types of submis=
sions: (1) work-in-progress efforts; (2) position papers; (3) regular resea=
rch papers; and (4) Lightning talks: A 2-page extended abstract that briefl=
y 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
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