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Description

This course familiarizes participants with different aspects of large data sets and how they are managed both on site and in the Cloud. Emphasis is placed on providing participants with hands-on experience from data ingestion to analysis of large data sets, both data-at-rest or data-in-motion (streaming data), including defining Big Data and its 5 V's: Volume, Velocity, Variety, Veracity, and Value. Architectures of distributed databases and storage, ecosystems such as Hadoop and Spark are covered followed by introduction to Scala, Spark-Shell and PySpark.

This course is part of the Professional Development Certificate in Data Science and Machine Learning.

Prerequisites

 Pre-requisite Course: YCBS 255

Applies Towards the Following Programs

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Section(s) offered

Section Title
Data at Scale
Language of Delivery
English
Type
In-class
Days
M
Time
6:00PM to 9:00PM
Dates
Jan 14, 2019 to Mar 11, 2019
Type
In-class
Days
Sa
Time
9:00AM to 2:00PM
Dates
Jan 26, 2019
Type
In-class
Days
Sa
Time
9:00AM to 2:00PM
Dates
Feb 16, 2019
Schedule and Location
Contact Hours
34.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Fee non-credit $1,295.00 Click here to get more information
Drop Request Deadline
Jan 20, 2019
Transfer Request Deadline
Jan 20, 2019
Withdrawal Request Deadline
Jan 28, 2019
Section Notes

Required Hardware:

8 GB ram, 16 GB recommended

100+ GB free disk space

Minimum one network card

Internet connection

 

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.

 

Section Title
Data at Scale
Language of Delivery
English
Type
In-class
Days
W
Time
6:00PM to 9:00PM
Dates
Jan 16, 2019 to Mar 13, 2019
Type
In-class
Days
Sa
Time
9:00AM to 2:00PM
Dates
Feb 09, 2019
Type
In-class
Days
Sa
Time
9:00AM to 2:00PM
Dates
Feb 23, 2019
Schedule and Location
Contact Hours
34.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Fee non-credit $1,295.00 Click here to get more information
Drop Request Deadline
Jan 22, 2019
Transfer Request Deadline
Jan 22, 2019
Withdrawal Request Deadline
Jan 30, 2019
Section Notes

Required Hardware:

8 GB ram, 16 GB recommended

100+ GB free disk space

Minimum one network card

internet connection

 

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.

 

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