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The Big Data Lab at UCR

Photo credit by Kittipat Apicharttrisorn (Patrick)

Our objective is to make big data accessible to researchers and developers at their finger tips. We propose basic research and systems that extend that state of the art in data management and makes the best use of the computational resources.

This page provides an overview of our research, downloadable software artifacts, and public datasets for benchmarking and testing. We also provide tutorials and instructions on how to use our tools and how to build on them.
Location: 368 Winston Chung Hall

People

Ahmed Eldawy

Assistant Professor

Saheli Ghosh

Starting year: Fall 2015
Graduate Student(PhD)
Projects: Davinci

Tin Vu

Starting year: Fall 2016
Graduate Student(PhD)
Projects: Deep Query Optimization, R-Grove

Samriddhi Singla

Starting year: Fall 2017
Graduate Student(PhD)
Projects: DARaptor

Akil Sevim

Starting year:Fall 2017
Graduate Student(MS)
Projects: Davinci

Zoama Hassan

Starting Year: Fall 2018
Graduate Student(MS)

Bhavana Vangala

Starting Year: Fall 2018
Graduate Student(MS)

Projects

DaVinci

Interactive visualization of big spatial data

Deep Query Optimization

Integrate and explore the capabilities of deep learning in the context of query optimization

DARaptor

Distributed processing of big raster+vector data that is capable of answering the zonal statistics query

R-Grove

A novel indexing for big spatial data which fully supports spatial data processing.

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