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CP1370 - Distributed Computing

This course aims to equip students with a rounded comprehension of Distributed Computing and Apache Spark. It covers a spectrum of concepts and practical implementations, showing the core principles of distributed computing and their integration within modern data processing frameworks.
 
Commencing with an analysis of distributed computing, students will know its relevance through practical scenarios illustrating its proficiency in managing extensive data processing operations. Exploring elements like the Hadoop Distributed File System (HDFS) and Spark, students will examine data processing functionalities incorporating transformations, actions, and fault tolerance mechanisms.
 
Upon completion, participants will possess the proficiency and insights needed to navigate distributed computing landscapes adeptly while harnessing the capabilities offered by Apache Spark.
 

Prerequisite(s): CP2280, CP1895

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This course is offered in the following programs:
Software Development (Co-op)  | 

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