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Udacity

Intro to Hadoop and MapReduce

Cloudera via Udacity

Overview

The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data.

Syllabus

  • Big Data
    • What is Big Data?,The problems big data creates.,How Apache Hadoop addresses these problems.
  • HDFS and MapReduce
    • Discover how HDFS distributes data over multiple computers.,Learn how MapReduce enables analyzing datasets in parallel across multiple machines.
  • MapReduce code
    • Write your own MapReduce code.
  • MapReduce Design Patterns
    • Use common patterns for MapReduce programs to analyze Udacity forum data.

Taught by

Ian Wrigley and Sarah Sproehnle

Reviews

4.0 rating, based on 21 Class Central reviews

Start your review of Intro to Hadoop and MapReduce

  • 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.
  • Profile image for Fuaad Haider
    Fuaad Haider
    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.
  • 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.
  • 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
  • Ridiculously tiny videos, no detailed explanations, disappointed. Please add some more content and don't rush thorough them. Udacity could have done better
  • Denys Shapovalov
    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.
  • Pedro Innecco
  • Profile image for Sauro Grandi
    Sauro Grandi
  • Xu Zhiming
  • Profile image for Pablo Torre
    Pablo Torre
  • Namsi
  • Mradul

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