So, in general, the course provides you with significant knowledge about big data integration processing, however there were simple exercises that could be done faster if there were no problems executing the commands. This problem leads students to quit the course.

I request the staff correct those errors in order to increase the approval rate.

Good experience of using the big data tools but a total lack of engagement in the forums by the instructors and community mentors make it hard going if anything goes wrong. The final quiz took me over 8 hours mostly because there was no one to ask for hints when I was totally stuck and confused!

The hands on exercises were very helpful and the course content was great. However, there were many issues while downloading datasets and configuring other applications. This should be updated so that students don't have to go to the forums every single time.

The course covers interesting materials and seems thorough. It's mostly lectures and reading, and not so much actually working with the technology. Since the latter tends to be the hardest part, the overall difficulty remains on the low end of the scale.

I feel the contents of this course were great, no second thought on it. It makes your concepts crystal clear. But faced lots of issues during practicing the hands on exercises and did not get proper feedback or response on any of the queries.

The hands on dataset installation had lots of problems while installing and spark and mongodb hardly worked even after multiple installations and i had tried many ways to get it to work but there was no benifit.

Lots of technical issues with assignments. Spent a lot of time troubleshooting issues that have been around for 9 months or more and never addressed. Seems like this course has been abandoned by creators.

Content was up to date but practice exercises are limited to Cloudera platform as well as too old. Need to be updated with more use cases and more exercises.

Thanks Coursera :)

the explanation for the hands on exercises are poor. Had to waste a lot of tie and consult forum discussions as well as other inline tutorial a lot.

The course material is not sufficient to work out the exercises. For the Spark final quiz you will have to take up another course to pass this one.

Assignments related to quiz could have been better explained as there was less explanation w.r.t some spark related quiz and MongoDB related quiz

C​ourse hasn't been updated for years, there is too much of programming (namely for/in MongoDB), which is, by no means, straight-forward.

It is a good course, but the hands-on exercises have a lot of issues and it is really hard to find support through the forums.

There were a lot of problems with the hands-on... a lot of bugs. You can rewrite / update the scripts. This would help a lot.

Programming instructions were not clear, and the version of Python that was installed on my machine did not support the Jupy

I wish that the Spark programming should have been covered in more details as was the MongoDB and Splunk covered.

Installation instructions need to be improved. Wasted too much time installing, rather than hands-on practice

the instructions to the final test are insufficient and the forums cant fullfill the students questions.

One of the tools mentioned tin the course do not work with Cloudera any more. So my labs became tough.

A little slower than the last ones, not my favorite but great use of hands-on projects and enagagement

Needs more depth. Instructors should reference more external readings since the lectures are brief.

some of the stuff was not mentioned properly, like for last quiz how to expoert data from mongodb

THERE ARE MANY PROBLEMS WITH ANACONDA INSTALLATION AND PYSPARK NOT RUNING CORRECTLY

The last assignment of Week 6 was far more advanced than the rest of the material.

You could focus more on Spark that is the widely software for Big data Processing