subject
Intro

Udacity: Intro to Hadoop and MapReduce

 with  Ian Wrigley and Sarah Sproehnle
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.
20 Student
reviews
Cost Free Online Course
Pace Self Paced
Subject Big Data
Institution Cloudera
Provider Udacity
Language English
Hours 6 hours a week
Calendar 4 weeks long

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20 reviews for Udacity's Intro to Hadoop and MapReduce

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5 out of 5 people found the following review useful
3 years ago
Lukas Tencer 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.
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11 months ago
Fuaad Haider partially 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.

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a year ago
Jason Michael Cherry 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.
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2 years ago
Soham partially 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
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11 months ago
Abhiram Shastri partially 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
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0 out of 2 people found the following review useful
2 years ago
Chaitra Patil is taking this course right now.
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2 years ago
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2 years ago
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2 years ago
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2 years ago
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8 months ago
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2 years ago
Namsi partially completed this course, spending 2 hours a week on it and found the course difficulty to be easy.
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2 years ago
Colin Khein completed this course.
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a year ago
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2 years ago
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Rafael Prados completed this course.
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