Home > Seminars > Tanu Malik - Sharing Databases

Tanu Malik - Sharing Databases


4/13/2017 at 3:30PM


4/13/2017 at 5:00PM


129 DeBartolo


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Kevin Bowyer

Kevin Bowyer

VIEW FULL PROFILE Email: kwb@nd.edu
Phone: 574-631-9978
Website: http://www.nd.edu/~kwb
Office: 321 Stinson-Remick Hall


Biometrics, data mining, computer vision, pattern recognition, applications to medical imaging, ethics and computing, computer science education.
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Scientific questions of today are more global than ever before. Answers to scientific questions are often buried within multiple disciplines and across a diverse range of scientists and institutions. The expanse and complexity of data required by researchers often exceeds the means of a single scientist. Data sharing in the form of a distributed collection and analysis is inevitable.  Databases are a natural store for such collections and analyses. They provide durability to collections and efficiency of analyses. However, current database systems are not designed for sharing of data, and thus either oversimplify data sharing or make it incredibly complicated.

In this talk, I will introduce the concept of sharing within a database context, and emphasize that it not only involves sharing content but also sharing how the database organizes the content to provide maximum efficiency of database queries. I will present methods for sharing data content in the form of light-weight virtualized packages that contain the database application and necessary and sufficient portions of the database content that the application used. I will describe methods for efficiently sharing database layouts by efficiently carving database page layout and index structure. Finally, I will describe some current work in improving the performance of shared database packages.

Seminar Speaker:

Tanu Malik

Tanu Malik

DePaul University

Tanu Malik is an Assistant Professor of Computer Science at the School of Computing, DePaul University. Her research is in the area of database and data management systems, focusing on “big data” challenges arising due to large data volumes, heterogeneity in data, and establishing trust in data. In her research career, Tanu has actively collaborated with scientists from several domains: astronomers, cosmologists, and a variety of geoscientists, with an aim to improve the quality of scientific data management infrastructure. Her research has been actively funded from the National Science Foundation, the Department of Energy, the Sloan Foundation, and the Bloomberg Foundation.

She has a PhD and Masters in Computer Science from Johns Hopkins University and a Bachelor's from Indian Institute of Technology, Kanpur. After her PhD, she enjoyed a few intellectually stimulating years at the Computation Institute, University of Chicago.