CIND 719 Big Data Analytics Tools

Prerequisite(s): Department consent
Duration: 39 Hours
Fee: $1137.80* (Payment in full is required at time of enrolment.)

This course is an introduction to learning big data tools such as Hadoop and advanced SQL techniques. Students will gain a clear understanding of Hadoop concepts and technologies landscape and market trends. They will construct SQL queries of moderate to high complexity to retrieve data from a relational database. Note: Tools taught Hive, Pig, Oozie, LAMBDA, Gigraph and GraphLab.

Note: In-class course delivery and on-site computer labs and video lectures

The course meets once a week on campus for an in-class session. These weekly in-class sessions on campus are held in a computer lab and run from 6:30 p.m. to 9:30 p.m.

Students have facilitated in-class computer lab time and open computer lab hours on Ryerson campus.

Computer Requirements: Students in the Data Analytics, Big Data, and Predictive Analytics certificate should consult the attached flyer for computer requirements.

Throughout the semester, student questions related to course content may be answered either by the instructor on discussion board or by an online tutor via email. For more information, please email Anne-Marie Brinsmead, Program Director, at a2brinsm@ryerson.ca

Request Department Consent

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* The standard fee for this course shown, but the fee that you are charged may vary from this. For example, part-time program undergraduate students are charged per their degree program fee table unless they are also registered in a certificate program and are not applying the course credit toward their degree program. Additionally, international students pay an international rate on most courses. Ryerson University also reserves the right to revise fees at any time.
In many cases, non-credit course series are not exempt from GST/HST. In these cases the applicable tax is part of the stated fee, as a "tax included" price, and is so noted.
Please see Course Fees for more information.