Intro to Hadoop and MapReduce

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7/10 stars
based on  10 reviews
Provided by:
Cost FREE
Start Date On demand

Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

Udacity online courses
Udacity gives students the opportunity to create hands-on projects that can be put into their portfolios and used to demonstrate their skills to future employers. You'll have a personal coach who helps provide feedback on your assignments and projects to assist you in reaching your goals and staying on track in your online classes. Throughout your education experience, you'll be able to track your development, complete in-class projects, have access to interactive exercises and videos and ...
Udacity gives students the opportunity to create hands-on projects that can be put into their portfolios and used to demonstrate their skills to future employers. You'll have a personal coach who helps provide feedback on your assignments and projects to assist you in reaching your goals and staying on track in your online classes. Throughout your education experience, you'll be able to track your development, complete in-class projects, have access to interactive exercises and videos and earn a verified certificate at the end of the course as proof of all that you've learned. You'll be learning from knowledgeable professors across various schools and parts of the globe. Learn about computer science from Dave Evans, an instructor at the University of Virginia, or delve into app development with Samantha Ready, a Developer Evangelist at Salesforce.com.

Provider Subject Specialization
Sciences & Technology
102 reviews

Course Description

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.
Reviews 7/10 stars
10 Reviews for Intro to Hadoop and MapReduce

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Tomas Kazemekas profile image
Tomas Kazemekas profile image
10/10 starsCompleted
  • 2 reviews
  • 2 completed
5 years ago
I have completed the updated version recently. It is a good introduction to Hadoop distributed computing system useful for big data processing. The course is quite short but also concentrated. There are only four lessons but the installation, implementation and programming that one has to do for the assignments take much more hours. One of the most valuable features of the course I found the opportunity to download and install Cloudera Distribution of Hadoop on a virtual machine (also included) on my computer and see Hadoop in action. All the programing in done in Python and command line.
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6/10 starsCompleted
  • 0 reviews
  • 0 completed
2 years ago
Good course for the first intro, very basic Needed more focus on developing mappers and reducers, moreover resources (purchases.txt) not available without vm. language presentation examples were all good
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Khaled Abolaynain profile image
Khaled Abolaynain profile image
2/10 starsDropped
  • 1 review
  • 0 completed
2 years, 9 months ago
I really struggle with this course for its shallow approach of the material presented. The way things are clarified is like the instructors are reading from a textbook, not getting deep into what is meant by such information. Quizzes are really confusing and many of them not based on what is in the video so you have to guess to get the right answer. Hope you improve and add to this course in the future!
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C Meez profile image
C Meez profile image
4/10 starsTaking Now
  • 1 review
  • 0 completed
4 years, 4 months ago
I expected to have a full understanding of Hadoop and Mapreduce functions and how/when to use them. I have a better, but still only partial understanding of the material I had hoped to master in this course. Lesson 4 needs to be have better supporting material; to clarify what is being taught. I would also improve the assistance given to students. Although Udacity advertizes a high level of assistance and tutoring for students, I received very little assistance and nothing I would even close to tutoring during the course. ** it should be noted that this course was not free for me. I was paying $199 for the course. So I may have expected more assistance than would be expected from a free course.
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Doug profile image
Doug profile image
6/10 starsCompleted
  • 6 reviews
  • 6 completed
5 years, 2 months ago
This was a well-done course but, unfortunately, very, very short. It's a good way to just get a very brief taste of Hadoop, MapReduce, and Cloudera. There are a couple hours of videos total and a couple of interesting labs that might take another few hours total. The material was professionally presented and fun to go through, but I was really hoping for a lot more content. In fact, it makes a good teaser class for someone that would have the opportunity to pay for a few thousand dollars for a class from Coursera. I hope other Coursera classes in the Data Science track have more content or the new "for pay" certificates won't have much value.
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Greg Hamel profile image
Greg Hamel profile image
6/10 starsCompleted
  • 116 reviews
  • 107 completed
5 years, 2 months ago
A short intro to Hadoop and MapReduce. Similar to the design of everyday things course, the course was so short that I did not feel motivated to do the fairly involved final project.
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Gabriel Candal profile image
Gabriel Candal profile image
6/10 starsCompleted
  • 18 reviews
  • 14 completed
5 years, 2 months ago
If you know programming (no need to be an expert, not even close) and don't know what MapReduce is, this is a nice place to start. If seen as a brief introduction to MR, to the point where you can write your own solutions to simple problems, it fulfills its role. Nevertheless, it won't make you an expert and it's fairly easy to complete (an afternoon is enough). No free certificate.
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Haley profile image
Haley profile image
9/10 starsCompleted
  • 1 review
  • 1 completed
5 years, 3 months ago
I'm a computer science student and worked briefly with MapReduce (MR) a few semesters back. Overall, the course was very brief and pretty easy (doable in less than a week). As advertised by the name of the course, the class is a good introduction to what MR is but nothing more. It's very light on material. After you do the exercises, you'll have a pretty good idea of how to use MR.
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Alex Parij profile image
Alex Parij profile image
8/10 starsCompleted
  • 2 reviews
  • 2 completed
5 years, 3 months ago
A basic intro to Hadoop. For what it is just an intro, it's ok. Everything is very organized and that's why it took little time to go over the material and to the exercises. Kudos to the team.
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Juanli Shen profile image
Juanli Shen profile image
7/10 starsCompleted
  • 3 reviews
  • 2 completed
5 years, 3 months ago
There're only 3 main course videos, so you can finish this course quite quickly. The content is easy (since the idea of MapReduce is easy?). And there're some hands-on practice helping to give you a sense of HDFS and the mapper and reducer code in Python. The installation and commands of the software is quite simple because a pre-installed Hadoop is offered along with the VM. So what you need to do is just to create a VM with the given virtual disk. There's a problem actually annoying me. The review questions and the project description are so confusing that I skip some and guess some.
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