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Sampling Method for Big Data Join Queries
TS-039364 — Tables of information are related using JOIN operators, a particular data point from table A is related with a data point from table B. This connectivity is a fundamental part of data analysis, allowing the user to run statistical analysis to find trends. When using large data sets too much inform…
  • College: College of Engineering (COE)
  • Inventors: Nandi, Arnab; Kamat, Niranjan
  • Licensing Officer: Hong, Dongsung

Execution Framework for Highly Interactive Query Workloads
TS-015215 — A database management systems that can execute joins with rapid response times.
Highly interactive workloads in data querying are becoming more commonplace, and there is a need to improve operations to cope with unique requirements of these workloads. For example, JOIN is a fundamental operation in databases used to combine data from two sets of data. However, the JOIN operat…
  • College: College of Engineering (COE)
  • Inventors: Nandi, Arnab; Ebenstein, Roee; Kamat, Niranjan
  • Licensing Officer: Hong, Dongsung

Query Rewriting Infrastructure for Big Data Exploration
TS-015213 — Middleware layer that queries in the context of sampling and improves efficiency of common statistical analyses.
The rise of data-driven approaches to business decision making has led to advances in data querying. However, quantity of data collected has been increasing more rapidly than the user's ability to develop queries for efficient data analysis. For example, the calculation of variance is a necess…
  • College: College of Engineering (COE)
  • Inventors: Nandi, Arnab; Kamat, Niranjan
  • Licensing Officer: Hong, Dongsung

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