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Course Description

Big Data involves massive data volumes and diverse data types. Modern organizations need people who can help implement the tools they need to deal with these huge data sets.. In this course, you’ll learn the technology of Big Data and build in-demand skills. You’ll get hands-on experience using up-to-date database management systems and tools. Get in on the explosion in new NoSQL technologies and Big Data tools including Hadoop, Spark, Cassandra and Kafka.

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Learning Outcomes

  • Understand the architecture of reliable Big Data systems.
  • Know how they differ from the traditional way of building systems.
  • Describe when to use different types of NoSQL databases.
  • Address current processing challenges of Big Data.
  • Analyze data using tools like Hadoop, Spark, Cassandra and Kafka.

Notes

This course is offered in partnership with University of Waterloo - WatSPEED and hosted on their learning platform.
System Requirements: Anaconda/Jupyter (software that you are required to install); Waterloo LEARN

Prerequisites

3250 - Foundations of Data Science or 3583 - Foundations of Data Science - ONLINE or a passing grade on a self-assessment test/quiz for equivalent skills

Recommendations

A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.

This course may be applied towards the SCS Certificate(s) in

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