Hadoop Platform V2 is well explained here including applications. At the end there's more detailed explanation of what Spark technology is compared to MapReduce. Having solid Python experience will help you here. Not having it, will be challenging. Also no support course support from Cloudera or authors o the course. You would get help from your classmates and internet.

The content of this course is quite good. I like it very much. However, I still have two suggestions. Firstly, the downloaded slides of the first lesson of week 1 is different from the slides used in the video. Secondly, the oral speed of the last lecturer is so slow. I have to use 1.25X to get a normal speed. Anyway, I would like to recommend this course to friends.

Very good overview with practice on programming with python for mapreduce and spark. So far, the best I came across to study the hadoop framework in a way that allows you to interact with the system.

It would be useful if the course had more depth on the different topics so we leave more resourceful to tackle additional problems than the ones presented here.

Good solid course with a lot of emphasis on hands-on! It would be great if the teachers (particular in the Spark/pySpark section) could provide setup guidance for iPython Notebook as this will save the students a lot of time in coding/re-coding various examples as well as having a complete and easy to overview trace of the various Python related exercises.

It is a good course , that gives a wide view of Hadoop platform and tools. Has some good examples .

I just think it could have more exercises to fix the commands and tools and how them can interact with each other.

My suggestion is to create a big project that will be increased on each week or lesson and this way prepare to a more integrated view.

Good course overall, learnt a lot, and much more confident about big data technologies. The course asks for heavy system requirements that I didn't have. You can still use a computer with half the specs suggested. Time expectations are incorrect; keep an average 5 hours a week to be able to do MapReduce and Spark assignments along with the videos.

I think, this is very important subject and course material was Excellent and very helpful in understanding the hadoop as a whole and to understand the relationship of other platforms like Spark And Tez.

There are some difficulties in understanding Quiz and Assignments but due to that i read different reference material on Spark and hadoop.

A great and easy introduction to Hadoop platform. Instructors explain the concepts that are central to Hadoop platform. Considering the breadth of material in Hadoop platform, the instructors did a good job on conveying the key concepts in an easy to understand manner. The quizzes had about 20% of questions that were not covered in course.

Assignments and Quiz sections are really good. The step by step hand-holding is quite helpful. I wish some of the instructors spent some more time in explaining the concepts better before jumping around, assuming the learner know what they know already.

I recommend this course to any developer yearning to step into the field of Big Data!

The course is well documented, instructors are highly qualified. It covers more theoretical aspects of Big Data Stacks. Once should have some prior knowledge of Big Data to finish this course, specifically to complete the coding assignments. If there were a real world use case of big data world, the course simply would be great.

This course gave a good overview of the hadoop platform and the frameworks. The course would have been more interesting if more examples were covered in the lectures and the assignments. Nevertheless, the map reduce exercises were good and helped understand the lectures better and were confidence boosting. :)

Speaker partly hard to understand. Quizzes / assignments were not really challenging, rather copy & paste. Algorithms and implementation of tools was not covered thoroughly (not even read up material provided). Anyway - gave a good overview of the framework and its components. Thanks a lot!

Very good course. The material is well covered. The spark assignments were very good. I personally thought the other assignments could have been harder. Still, I strongly recommend this course for anyone wanting to get introduced and get comfortable with programming on the Hadoop stack.

The course teaches the most important aspects of Hadoop Platform, especially the MapReduce and Spark programming framework in a consise way.

However, students without technical backgrouds may found it hard to complete the programming assignment with Python and in Linux VM evnironment.

Was good and Interesting... But after last Course (Introduction) this is a massive leap and is not suitable for someone who has no Coding Background - I don't and I suffered way too much trying to figure out all taht stuff, I think this is not for Business Professionals by itself.

Sorry, can't give 5 stars. The quality of transciption isn't good: voice recognition without proofreading. As I am not a native English speaker, the transcription is important for me.

This course is pretty basic, but I received much needed context for more advanced learning.

Gets into the conceptual meat of the topic well and gives detailed enough explanation of each topic. I still feel that it could be improved with a little more examples and conceptual underpinning of HDFS. I like the professor and satisfied with his style of teaching.

It was indeed a treat learning this course. It covers hadoop platform using theory as well as practical examples. The coding assignments will boost your confidence and interest. The Course was designed with proper mixture of coding assignments and other quizzes.

This course definitely not meant for beginners. But this is a very good course for an intermediate. The best part of it is the quality assignments we do here. If the topics were described elaborately then it is definitely a better place to begin with.

Not easy assignments for non-programmers !!! ..... but I am a programmer, so it was ok :-) ....

The quiz on Sparks are quite hard compared to others: I had the feeling that all the info was not in the course...

I learned a lot, so I give it a 4*

The HDFS, map reduce explained very well. Since spark is complex , wish more details were discussed but good high level information. The quizzes are even better because it challenges the same concept that one is not might be double mind for.

It was a very interesting course, the way that it is done is not tiring , short videos and different speakers facilitate to have a good understand. I would say that the programming lessons require a minimum of language programming notion.

Nice job guys! Thank you for sharing your knowledge! Some of lecturers were better than others. Please don't read a lot when presenting. More eye-contact is great! Programming assignments were great. I'd add one more complicated task.

Course was ok. Took more time than I planned to get environment up and running on my windows 10 laptop. Using virtualbox did the job. But getting ipython up and running took another path than the course suggested. Thank you internet!

it was great content and the assignments was very useful and good practice. one thing may make it betters is to make a rich slides content with the important keys and concepts mentioned in the videos.

But really it was nice