It was better course than the introduction, because there are some assignments where we had to use Big Data tools ourselves and work with provided datasets. What I lacked was more more advanced and practical stuff. Even though it was second course in specialization, it contained way too much introductory material. A lot of showing and talking, but not too much practical learning.

Some of the explanations are pretty good, but the course has a particular lack of cohesion with three different presenters, some of whom repeat the same material to varying degrees of success. A bit disjointed and not very well paced at times for those who are only able to view the videos. Overall helpful, though, considering I was a total layman when it comes to Hadoop.

Week 1 and 2 are good to catch up on the concepts and get started with cloudera quickstart vm.

It would have been more useful if rest of the lectures were little more detailed with more hands on exercises. It did not help me to gain at least intermediate level of understanding I was hoping for. Lectures are well delivered though, just the content is my concern.

Course gives just a slight overview of the subject that it is about. The best lectures are given by Mr. Rodriguez and Mr. Zonca. When it comes to Mr. Tatineni, he does not sound like a professional who is sure about the subject that he is talking about, he sounds very insecure - it's just my own thought, but maybe not everyone is made for giving a lectures :)

Contents are good, but:

1- No communication with the instructors.

2- Some cuts in the presentation.

3- Missed instructions lead to some students being lost and missed operations (methods) which are needed to finished the tasks.

May be it is the timing, but the course shouldn't run if there are no instructors to answer the students questions and issues.

Thanks,

I very much like the hands-on style of actual programming exercises. There were two main problems. First, the course really needed a robust familiarization and problem solving guide for the use of the VM and programming shells. Second, there were many questions in the quizzes that weren't clearly expressed in the lesson material or available readings.

I have enjoyed doing assignments. Assignments definitely give some hands-on.

I am Java programmer for over a decade. This course gave opportunity to learn Python, not sure next courses (scala ?).

Instructor videos did not explain the concepts deep enough. Found Databricks and other videos available in Youtube are more helpful in understanding concepts.

The course is good and teach you the basic about apache hadoop and hadoop environment, but the slide section is really boring and not interactive. Also this part specific is not deep enough so is basically a read the docs by a person. The programming assignments is also a little bit confusing and not determine the objective very well.

Appreciate learning some concepts, and practical technical details. However, the latter quizzes (week 4, 5) had ambiguous questions, the answers to which could not be discerned from the videos, transcripts, and slides. Maybe including references, additional readings that have the answers would help. Still, thanks for the course.

Great material and exercises, but the Spark lectures were hard to follow and could have been explained in a more simple way.

This course will benefit from videos showing actually coding being performed by the instructor, similar to Microsoft and Apple tutorials; when displaying code snippets, the context is not always obvious.

Es un buen curso de introducción a Hadoop, completo y que recorre todos los temas básicos. Las prácticas me han parecido demasiado sencillas y muchas tienen el problema de trabajar con versiones de frameworks y herramientas antiguos. Esto a veces hace difícil completar los ejemplos debido a los diversos problemas que surgen.

Some materials have tyros. And I don' think I can find the answer to some questions in quiz from videos.

However, this course help me have an overview over hadoop and spark. I'm very happy to know how to code mapper and reducer scripts. I really appreciate all the efforts you teachers made. Thank you very much.

Mostly good, if you're patient and interested in big data you'll take a way a lot of useful information. However, some of the material was rushed or not presented as clearly as it could have been, there were errors or ambiguity in the quiz questions and (as a techie) I'd like to have seen a bit more depth.

The course is quite good, really basic but a good overview of the concept clearly explained. This course would get 4 starts if they increase the quality of the last week where I had a lot of difficulties to answer to the questions that are often unclear or not explained extensively during the course.

Trainers language is kind of strange. Architecture of Spark could be demonstrated in a far better manner. Added to so many flaws in the lectures is the instructors looking at the notes and speaking which is very awkward.

Assignments are good but I feel that a little bit more guidance would help.

Instructors have good knowledge of the subject but instructions are made by reading slides, at least it looks like. Only because of the teaching style I lost the interest after 2 weeks into the course. Please refer to Mr. Andrew Ng's Machine Learning class for better teaching.

The course needs an update ... it's like 4-5 years old.. configuring and working with outdated Vm is difficult..the course is some kind of theory course. I had expected more from those intellects. Presentor in early weeks seems reading a textbook for some reading contest.

The lecturers do not induce much interest in the lecture and the class was not that enjoyable either . The assignments were good but since output was sensitive to space and punctuation it made the job difficult when submitting the output file.

Suggestion: Looked like instructor is reading from something rather than explaining the concept.It would have been nice if they would have explained also after reading from slide.More examples would have helped in understanding the concepts.

Course provides basics of Hadoop, MapReduce and Spark. In my opinion program assignments should be more formalised with no dependancy on programming language at all (plain result submission) OR with strict dependency (code submission).

Good course to give understanding about hadoop and spark. As a c#.NET guy , I studied linux and python basics, but stil feel that one should know bash commands and python well to excel in big data processing using spark.

It is sometimes pretty boring when the instructor is merely reading out from the slides. Instructions for assignment 2 joining of data sets using map reduce were not structured properly which made it a bit confusing.

When I took this the lab information was pretty old -- old enough that it took a lot of effort to get the virtual machine ready for the class. And there was no one availble to help except the other students.

Not a bad course. It could have used a bit more polish and the verbiage of some of the exercises lacked clarity. But, considering the course is available for free, I appreciate it being available!

There are a lot of unclear explanations. Slides are not good enough. The speakers' talking is not confident and concise. There are many questions in quizes which are not covered in lectures.