Great course and content; I just would like that I've felt better prepared for the last challenge with Spark. @ week6. But still an excellent course and hands-on exercises.

great course material but poor and outdated hands-on material

It was a tough last project and I had to use outside resources with limited examples and that is why I could not finish on time. I don't like being late on anything but this was by far my worst time management due to vague instructions and lack of supp

Overall course is awesome but lots of tries does not get to install spark in system. some problem with anaconda package is there.

Unmaintained resources.

The content is superficial but interesting. I liked the classes about MongoDB and Spark. The bad thing is that I couldn't use any of tools in Cloudera VM. I coudn't use Spark to answer the last quiz. I tried to install Spark in my personal computer but it didn't work too. I used PostgreSQL and MongoDB in my PC too. I was very disappointed because of that. I couldn't practice Spark as I wanted.

A lot of the instructions for the assignments were incomplete or just wrong. The installation for Splunk never worked as written, forums were of no help; I ended up downloading an older version of Splunk just to complete that week's assignment. This course was extremely frustrating to complete.

Good theory but Hands on exercises are abysmal - extremely outdated and making you spend hours looking into how to get the applications involved to work so you could do the actually assignment.

To avoid. For 4 years, instructors / Coursera / UCSD have never updated the course. In this course, when you follow the instructions "localhost: 8889" it doesn't work, you have to go through the terminal to start pyspark. In addition, the connection ports have been obsolete for over 4 years, therefore the function "rtd.hpwren.ucsd.edu", 12028) (or 12024, 12020) does not work. Students are left to fend for themselves, wasting their time finding solutions in forums where unanswered questions to the same issues were asked 4 years ago. Even their VM is obsolete and no longer supported by Coursera. Find other Big Data training if you want to have a higher level training. If I could put a negative star on this course, I would.

The content of the course is good. However, the self-driven mini projects are so out-of-date they cannot be completed without hours of wasteful troubleshooting. Coursera should seriously remove this course in it's current state.

the material provided is very outdated i spent most of the time in building the config and setup from the scratch hope coursera takes a look at this

broken exercises. unable to install spark with anaconda. unable to read git hub files on cloudera

Materials for hands on exercies are not working. Bad stuff

Phew! This course was really tough(the last week's last quiz) You need to do extensive research on the subject for solving further problems which I really liked but it was quite difficult to understand and implement the same after reading from documentation

We need more exercises to use phyton and spark because with only the examples the hands on quizes are very complicated and I feel that I'm not understanding very well how to use the bigdata tools, is more like error and proof than real learning

thanks a lot!!!

Big data integration and processing is a very nice theoretical course on big data integrations systems and also includes a bunch of practical exercises with big data integration products. The assignments including mongodb and apache spark are worth doing.

What a great relief, after passing that last quiz, it took my entire Memorial Day weekend, after the Microsoft Windows 10 Creators upgrade totally ruined my Virtualbox installation for the Cloudera QuickStart VM. Looks like that is a very very good quiz.

The entire course was quite thrilling filled with new information at each turn, the final hands-on assignment was an eye-opener to the possibilities and importance of using the various big data ecosystem to solve the world problems in a global scale

This course is very good, however not for beginners because one needs some background base for traditional databases and some math skills. Otherwise the course content is good and the assignment really makes the concepts understandable and clear.

This course covered a lot of topics at a decent level, and provides a good platform for those interested in taking a deeper dive into specialization courses. I enjoyed the course content, as well as the hands on exercises/quizzes.

Thank you!

That's an excellent course I've Learned a lot about not just the Platforms Basics but also how to perform basic operations in Mongo, the tests and the practical exercises also were well planned to ensure that you know what are you doing.

The content of the course is good, in some situations the explanation is not so complete, but with some research it is possible to conclude. In addition to the videos could be offered some extra material with the content of the module.

This has been one of the most exciting courses I've done. The final project makes a good job on making you apply a Big Data Processing Pipeline to solve a common task these days with SparkSQL: analyzing data on social media.

I found this quite beneficial for me, as it provide all the relevant knowledge that is required to know all about Big Data Integration and Processing. Thanks coursera for providing such a platform to everyone.

Course should be designed to be able to install trail/free software for hands on experience like spunk. Overall nice concepts and hands on with Spark and MongoDB. Excluding spunk area everything is good.