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    Intro to Hadoop and MapReduce

    Cloudera via Udacity

    20 Reviews 1019 students interested
    Found in Big Data, Data Science, Big Data
    Go to class

    Taken this course? Share your experience with other students. Write review

    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.



    Why Take This Course?
    • How Hadoop fits into the world (recognize the problems it solves)
    • Understand the concepts of HDFS and MapReduce (find out how it solves the problems)
    • Write MapReduce programs (see how we solve the problems)
    • Practice solving problems on your own

    Syllabus

    Lesson 1

    What is "Big Data"? The dimensions of Big Data. Scaling problems. HDFS and the Hadoop ecosystem.

    Lesson 2

    The basics of HDFS, MapReduce and Hadoop cluster.

    Lesson 3

    Writing MapReduce programs to answer questions about data.

    Lesson 4

    MapReduce design patterns.

    Final Project

    Answering questions about big sales data and analyzing large website logs.

    Taught by

    Ian Wrigley and Sarah Sproehnle

    Tags

    hadoop

    Help Center

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    Reviews for Udacity's Intro to Hadoop and MapReduce
    3.9 Based on 20 reviews

    • 5 stars 30%
    • 4 stars 45%
    • 3 stars 10%
    • 2 stars 15%
    • 1 star 0%

    Did you take this course? Share your experience with other students.

    Write a review
    • 1
    LT
    Lukas T
    5.0 5 years ago
    by Lukas completed this course and found the course difficulty to be hard.
    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.
    6 people found
    this review helpful
    Was this review helpful to you? Yes
    FH
    Fuaad H
    5.0 3 years ago
    by Fuaad completed this course.
    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.

    Was this review helpful to you? Yes
    SS
    Soham S
    4.0 3 years ago
    by Soham completed this course, spending 2 hours a week on it and found the course difficulty to be easy.
    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
    Was this review helpful to you? Yes
    AS
    Abhiram S
    2.0 3 years ago
    by Abhiram completed this course, spending 1 hours a week on it and found the course difficulty to be easy.
    Ridiculously tiny videos, no detailed explanations, disappointed. Please add some more content and don't rush thorough them. Udacity could have done better
    Was this review helpful to you? Yes
    JC
    Jason C
    4.0 3 years ago
    by Jason completed this course, spending 2 hours a week on it and found the course difficulty to be easy.
    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.
    Was this review helpful to you? Yes
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    • 1

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