The first week or so feels inconsistent and oversimplified. After that, when you get into the actual content, it gets much better. It then ends on a peer-graded assignment. While the assignment itself is creative and fun to complete, I've never been a fan of peer-graded assignments so early in an introductory course load.

(1). No está actualizado, Oracle VM virtualbox está en la versión 6.1.26. (2). la explicación de la ejecución de los hadoop-examples.jar no fue clara en el sentido que hay que aclarar que cada programa o salida del mismo debe tener un directorio independiente o pueden estar varias salidas en un mismo directorio.

The course is well structured with relevant theories & definitions. However, my opinion there was too much stress upon theory and less focus on practical. It didn't cover all possibilities where Hadoop Code might not run, given the fact that almost most of the learners were using Hadoop for the first time.

I little slow to start but the pace picks up nicely. Content is generally easy to follow. Some differences between spoken and voice recognition subtitled text. Practical tests were interesting but not particularly well explained for the MapReduce shapes task, which seemed to leave a few puzzled.

Bom curso, por ser um inicio ao haddop e nao informar que é direcionado para pessoas que tenham um conhecimento prévio, precisa procurar na internet comandos e dicas sobre como atuar em algumas situações que nao ão discutidas em aula, mas no geral material muito bom.

The lectures are a bit boring and it seems like lecturers only approve of their own point of view, so the quizzes require precise answers as in the lecture. Also don't enrol if you don't have 8gb of RAM :) But overall I guess I did learn some new useful stuff.

I believe this course can be performed much faster, beware that it is really an introduction, and IT professionals persons may feel it slow, in addition the presenter speaks English very slowly, good for non English proficient persons, but bad for the others.

Better content needed. While I understand this was an introductory course, it was challenging only in semantics (remembering exactly what subjective thing Ilkay mentioned/ selecting one of two partially correct options etc.) and not in concepts

Very informative, and I've learned a lot. But I felt it a little bit slow and boring. There are so many ways to make it so much interesting, and it's important too. I think that's why I took a long time to finish this course.

The course is nice for people without any background. With some background in physics/math/computer science it moves very slowly and doesn't provide much technical details. I wouldn't call it a specialization though.

In my opinion it is a little difficult for somebody who is not related to this world to make the exercises of the practice area. More information on the websites about downloading the programs must be implemented .

Very Basic course. Don't expect in depth expectations. Inadequate hands on exercises in the course. You will get 10,000 ft view of Big Data after completing this course. Don't expect much from this course.

An introductory course that seems like it should have been the first week of a more in-depth course instead of being a stand-alone course. The cost vs benefit of this particular course is questionable.

The content is good, but the VM is bad, slow, and old version of everything. I have downloaded a Docker Container to continue with the program. They should update the VM or provide a Docker link.

I'm not sure who the target audience is for this course. The level of presentation seems rudimentary to me. I had a hard time sustaining interest in the course and did not finish.

Content and questions were good in this course but I feel like there was no need to show instructors in the video, only voice playing in the background would have been much better.

The lectures in the first two weeks are not practical at all. The only practical content in this course is the MapReduce and Hadoop part, which can be finished in one or two days.

The time / usefulness rate of this course is very low. Most of the stuff they teach (at least in introduction) is very basic theory that's presented in not really interesting way.

The course is a lot about talking and theory which is not very interesting. Final part of course is trying to work with hadoop using virtualbox and provided virtual image.

De momento he aprendido conceptos nuevos e interesantes, pero todavía no entiendo las herramientas utilizadas. Hadoop me parece muy confuso y dificil de utilizar

An amazing course to get a brief understading about Big Data, the course needs an improvement in the slides, and additional resources for better understading.

Very informative but the structure is a lecture where the concepts are basically read from a paragraph. Perhaps I'd give more stars if I only saw diagrams.

Was expecting more hands on stuffs, the class is too conceptual. The sound volume of the videos is not consistent, hope Coursera can improve a bit on this.

Interesting concepts and basics about Big Data. However, it could include more practical exercises or quiz to continuously learn and evaluate the student.

A little bit too conceptual and very basic. Hadoop hands on and HDFS should be much more intensive. However, good material, well presented and explained.