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Course Description

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.

What Will You Learn?

Develop a comprehensive understanding of big data and its industrial and sectoral applications.

Learn how to:

  • Engage in big data and AI computing (cloud computing) and their industrial applications.
  • Utilize Hadoop ecosystem for big data.
  • Employ Linux file systems, bash commands, and regular expressions.
  • Write complex queries on big data using Apache Hive to query data stored in various databases and file systems that integrate with Hadoop.
  • Write scripts and analyze data using Apache Spark to efficiently execute streaming and machine learning on big data.
  • Leverage network analyses and their use cases.

Notes

The deadline to enroll in CIND 719 for Fall term is September 12, 2022.

The deadline to enroll in CIND 719 for Winter term is January 16, 2023.

Students will also not be allowed to swap between sections of the Data Analytics courses after the above dates.

You must download the X2Go Client in order to access the software needed to complete the requirements for this course. Prior to your first class, you are strongly advised to test the computer you plan to use, as machines operated using a third-party administrator (such as laptops provided by a workplace) may not allow access to the required software/download(s).

International students should use their own virtual private network (VPN) software to connect to University resources.

 

Requisites

Department Consent Required.  Please submit the Request Department Consent form, or contact Ceni Babaoglu, Assistant Program Director, Data Science at cenibabaoglu@ryerson.ca for more information. 

Department consent may be provided if the student has specific professional experience.

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Course Sections
Class Number
5645
Type
LEC
Days
W
Time
6:30PM to 9:30PM
Dates
Sep 07, 2022 to Dec 14, 2022
Schedule
Contact Hours
42.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,028.53 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
5640
Type
LEC
Days
W
Time
6:30PM to 9:30PM
Dates
Jan 11, 2023 to Apr 19, 2023
Schedule
Contact Hours
42.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,028.53 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
5641
Type
LEC
Days
Sa
Time
1:00PM to 4:00PM
Dates
Jan 14, 2023 to Apr 22, 2023
Schedule
Contact Hours
39.0
Location
  • Online
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,028.53 Click here to get more information
International Fee non-credit $0.00 Click here to get more information