Description
:Introduction to big data. Applications of big data. Review of the supporting technologies including distributed platforms for big data analytics:
Hadoop, Spark, and their ecosystems. Hands-on experience with Tableau for creating dashboards and visualizing data, and Spark for analyzing data files distributed on clusters of servers.
Posting limited to:
Professeur à temps-partiel régulier / Regular Part-Time ProfessorDate Posted (YYYY/MM/DD):
2026/02/13Applications must be received
BEFORE (YYYY/MM/DD):
Expected Enrolment:
40Approval date:
2026/02/13Number of credits:
1.5Work Hours:
19.5Hourly Rate:
Enseignement / Teaching: $239.47 )The academic year starts on September 1 and ends on August 31.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Course type:
CPosting type:
Régulier / RegularLanguage of instruction:
Anglais | EnglishCompetence in second language:
PassiveCourse
Schedule:
Requirements:
Must have an MBA or Master's Degree (PhD preferred) in an area directly related to the course and demonstrate recent relevant experience in the area of Business Intelligence Technologies and Big Data Analytics. Must also have teaching experience, preferably in the area of the course.
Teaching mode:
Please note that the teaching method will be delivered online (synchronous live).
Teaching method might incur changes due to health measures or other reasons.
Note:
The course is joint with ADM
6287
Additional Information and/or Comments:
Joint with ADM6287
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.
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