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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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