Big Data Research for Open Source Applications

Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization. In this internship, we analyze a real-world big data set(s) to make sensible inferences by taking into account a selected range of criteria. A number of methods and algorithms are investigated, evaluated and evolved to advance the development of specialized tools and processes.

Faculty Supervisor:

Dr. Mark Coates

Student:

Milad Kharratzadeh

Partner:

AppNovation Technologies Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

McGill University

Program:

Accelerate

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