Overview
In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of Big Data in the real world!
Syllabus
- Big Data
- Problem Set
- HDFS and MapReduce
- Problem Set
- MapReduce Code
- MapReduce Design Patterns
- Project [Optional]
Taught by
Ian Wrigley and Sarah Sproehnle
Tags
Reviews
4.0 rating, based on 21 Class Central reviews
4.9 rating at Udacity based on 8 ratings
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Debugging Hadoop code is pain, but otherwise very nice class. I appreciate that it brings real-world examples and lets you try the code on live system, not only udacity coding platform.
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Can anyone tell what the benefit end users usually forum moderators will get from the extracted information in the final project?? i.e, Benefits of
1-List of students per thread
2-Finding Top Ten Tags.
3- Student Timings i.e. at which they are most active
4-Co-relation between question and answer.
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This is a solid introduction to Hadoop and MapReduce concepts. The assignments are a good exercise in getting familiar with the basics. There's a lot that this course doesn't cover, but it's enough to get your feet wet with Hadoop and MapReduce concepts.
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Very nice, introductory course; Video content is not much; very short and fast, but the exercise questions are well designed and illustrate some real-world applications of MapReduce
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Ridiculously tiny videos, no detailed explanations, disappointed. Please add some more content and don't rush thorough them. Udacity could have done better
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This is good place to start with Hadoop HDFS filesystem and map reduce concepts. Good balance between theory and practice and approach is comfortable for novice.
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