In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of Big Data in the real world!
Type of Material:
Self-paced, individual, homework
Identify Major Learning Goals:
Upon completion of this course, students will be able to:
1. explain how Hadoop fits into the world (recognize the problems it solves)
2. describe the concepts of HDFS and MapReduce
3. write MapReduce programs to solve problems
Target Student Population:
Professional, undergraduate, postgraduate
Prerequisite Knowledge or Skills:
Fundamentals of Computer Science, Computer Programming, Algorithms, Data Processing, Database Management
The course provoides a basic foundation for Hadoop and MapReduce. The content is clear and accurate. It gives the concepts and practise for writing MapReduce program to solve problems. It contains quizzes for learners to assesse their understanding.
Presumes more prerequisites than expected
Potential Effectiveness as a Teaching Tool
The learning goals and the pre-requisite are clear. The materials including the videos, readings, and quizzes are self-contained. It can be used as a self-learning material or easily integrated into classes. It helps learners to strenthen their concepts and skills.
Target audience is one with a very specific combination of background knowledge
Ease of Use for Both Students and Faculty
The instruction and the vidoes are very clear. As a Udacity course, it has a very consistent and ease-to-use layout. The topics are well-organized and easy to follow.
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