A bit basic.

Good course

浅显易懂，可操作性强

Great!!!

very Good

Great !

Famous

good

Good

入门级

I was very upset during the course, since there wasn't much assistance for trouble shooting some issues during the assignments. As the programming was run in a virtual machine, there were a lot of bugs would occur during the assignment. Some of them was mentioned in the discussion board, and others you have to figure by yourselves, which cost you a lot of time.

Another drawback of the course is that, the language of one of the instructor is awful, you will be easy to get lost due to his poor English. I replayed his lecture three times to get everything. However, after you get his points, you will find he structure his lecture very well.

Overall, Hadoop is not something you can easily get its idea. You might go through the whole course to get a idea. Even though you pass the course, you might want to go back to review all the material again to better understand what you didn't at first time. The assignment is beyond newbie level, not friendly for all, especially considering you have to debug those issues caused by virtual machine. However, you can get some idea from discussion board or some resources online, in either case, you can get an idea how the programming works in the hadoop.

A more decent course than the first one in the series but still plagued by the following problems:

-very inconsistent between the presenters; some sessions are over-long and generic, some are really heavy and detailed

-to many of the system presentations are focused on the look and feel of the interface instead of focusing on the actual task at hand

-there is no effort to prepare a common data set specific for this course and present an over-arching case; instead the work is based on already available data sets in Cloudera and preparing some generic exercises

-static slides are very boring; please look through the Coursera catalogue and check the format of courses where the professor actually writes on the slides and comes up with content during the lecture

I'm basing my review on all of the classes that I have taken in this specialization so far (first 3). This course was a positive experience in giving me some basic domain expertise behind hadoop, but the entire specialization as a whole doesn't cover the depth or complexity that I wanted out of it. I would prefer to have been reimbursed for the entire specialization expense. As a full time professional working more than 70 hours a week, not having any flexibility to get back to classwork if I get killed during one particular week is very frustrating. The python components of this course left me disappointed because none of this material was even related to the corollary material in the video discussion.

I like this course, although I think I could have taken more advantage if Dr Gupta(?) was more clear on his lectures - I couldn't understand what he was talking because he was speaking too low. I like Dr. Zonca but I found hard to follow at times, due to his accent. I don't know if he was finishing a sentence and starting another one or still taking about the same thing. Plus some of the quiz questions were so hard to find that I couldn't even find on the doc. I hope this can be seen as constructive criticism. I have no intent to disrespect, I'm talking from a position of a ESL person, who needs a bit more effort to understand another ESL person. Overall, I'm loving this course.

This course can be difficult for non-programmers who have little or no debugging experience, as there is a substantial amount of code debugging required to pass the assignments. I would have liked a little more guidance from the lectures and discussions on the assignments. Otherwise, I learned a ton, and after all, that is the objective. I did feel like I was in a vacuum with the quizzes and assignments, often waiting for responses and trying to find answers on StackOverflow, which can be intimidating. I did get a great response from someone, but I don't know if that person was another student of part of the faculty.

Interesting content and useful information. but everything is here and there, the presented information is not cohesive and is not presented in an easy way. it is kinda rushed through. too much information in a short amount of time. for example more informative slides on how map reduce works and how job tracker and task manager handle the process could be informative. This comment is based on the materials presented in the 1st week of the course, and I may change my mind as I start learning contents in the following weeks, which in that case I will update my review to be more fair.

Material is too general but a decent overview of the hadoop eco system. Gave it a 3 star only because of the last quiz, which is obviously being unreasonable. Because of that, I didn't get a certificate. Lots of stuff in the quiz is not covered in the lecture and I have to search the design doc. And the questions themselves are too vague (like what does it mean by "broadcast a python module" or "a large configuration file"? How large? What does it even mean by a configuraton file? Is it just a dict? Or it is actually a spark configuration file?). Not meaningful at all.

The entire course is pretty good. But the final assignment with the N to N match with Program as the key should really caught attention of the mentor. With N to N match, the only "right" result is to right the very similar Pyspark code just like that write by who was writing the code to generate the answer. However, the N to N match, there is no true answer at all. Therefore, any code other than what the writer wrote should be given partial credit. All in all, a pretty good course, but assignment 15 definitely need to be rewritten to get rid of the N to N match.

Decent quality course. However after its first run I hope the course instructors iron out the teething problems with the written material, videos, quizzes and assignments.

Some of the material unfortunately felt like a regurgitation of the Hadoop reference manuals. It didn't feel like we were getting the inside track from experienced Hadoop and Map Reduce experts.

However the introduction to Spark was excellent and very exciting. Although again there weren't many expert insights it was a solid introduction to the area.

O curso é muito bom porém muito vago nas informações, a parte mais técnica é muito simples e explicações muito macro não demonstrando realmente o passo a passo, pessoas leigas em linguagens de programação (python) teram dificuldades para entender o que está acontecendo, Algumas provas com perguntas que são necessário pesquisar na internet sobre o assunto pois faltou a explicações do conteúdo em questão! Alguns videos poderiam ser editados visto de situações desnecessárias como crises de tosse durante a apresentação.

I actually enjoyed the course, but -1 star for being a little outdated and -1 star for too much content and few practical exercises in the central parts. The structure is well thought though, and the PySpark lessons very entertaining. I would recommend this course for those interested in getting an historical perspective but warning them that MapReduce and Spark RDDs have been superseded with recent developments.

One of the instructors was really terrible. Maybe a good programmer but definitely not a person to teach content to other people.

Parts of the course were well structured. Other parts not that well. The components of the hadoop framework could have been presented much faster and concise. Having made that part shorter and more logically structured one could have dived a bit deeper on the individual topics.

The course overall is good; however, week#2 for example was pretty bad. It felt like a very theoretical style of teaching a course which could have been made hands on. Week #2, which i am in process of completing is SO MUCH theory. Tez, YARN, Spark... difference b/w hadoop and hadoop#2.. Do you want us to cram the differences? Show us how to build something, show us how to set-up a JOB... be practical.

In the last few phases of the class, week 4 & 5. I felt like instruction did not cover everything needed for quiz. Taking good notes and reading some at Apache Spark site, still left some answers to questions hard to find. The programming was Ok. I think that a little more intro to some of the programming may have helped, but I was able to complete some of the programming task faster than the quiz.

This course talks about all the basic required knowledge of Hadoop, HDFS, Spark and so on. It is useful to know all the concept. I loved to have more practical examples as well. I suggest that instructors add some more practical real-life examples and reduce the conceptual parts a bit. Overall, I liked it and learned many complicated concepts, as a non-expert person with a major of engineering.