Nice work! Thnx

Great Course

great course

Very good

great

Very great introduction to the Spark SQL and databricks environment worked perfectly as a hands-on.

It would be great if the course covers the Spark ML applications. We used sklearn in the course and utilized a trained model by using the user-defined function. I wonder how it compares with the case where we use Sp ark ML for the training as well.

Positives - Just having SQL knowledge got me to learn how the large data can be processed using SPARKSQL. I had a great time getting hands-on experience for spark SQL notebook.

Negative- I just wish the videos are too paced as there was a lot of information to cover in all the videos.

A good way to get started with Spark SQL. You might need some knowledge of SQL to get started with.

It is a good course. I have learned a lot about Spark.

Happy to attend this course.

it was an interesting course in as much as it has got me interested in spark and it was doable. I think it tried to cover too much ground in not enough depth. After completing I have gone off and am doing the datacamp spark courses which are also interesting.

The implementation stuff in databricks was really annoying in that the platform used a ´´ whatever it actually was - i still dont know!!!! i just had to copy and paste it every time...it was never mentioned that it didnt work like sql with [] or that it wasnt a apostrophe or whatever.

The use of jupyter notebooks itself was nice, and the exercises were also nice as a learning exercise, i got a lot out of them by having to actually find out some things and see ah ha thats how it works.

The presenters were very good. I could be critical of a few points but i wont as i am guessing its there first mooc or so, and my personal opinions are irrelevant in my annoyances :-)

All in all a nice course as it has good me interested and actually up and running with spark, so i can see where and how it fits and will look further...

Many thansk!

A highly polished presentation, however I still feel only a superficial understanding of partitions and other Spark optimisation techniques. In Course 4 of this Specialization, I had to google myself how best to set partition parameters (ie. how to choose a value) which perhaps shouldve been covered in this course.

High-level definitions are given, but not so much in way of actual application to clarify the concepts.

video quality needs to be improved. Be careful about the last assignment. The accuracy asked in the question is the accuracy over the training data.

There is not updated notebook with the last spark release, it's very confusing and a lots questions into the forum

great course. but the last assignment has too many coding problems to fix after q2. dont know why

The first module felt more like a sales pitch for DataBricks than anything else, and the last module was about machine learning, and not distributed computing. So, in my opinion, only 2 of the weeks attempted to focus on distributed computing, but even they failed. The course seemed to focus way more on SQL, and less on Spark and how it works. Sure, there were pieces of information on how to how to change the number of partitions, but how partitions work, or how Spark actually handles distributed computing was lackluster at best. If you have even a rudimentary understanding of data engineering, you should be able to ace this course with minimal effort, but you'll likely not take much away from it. Great course for absolute beginners though.

I did not like the flow of content explained! I expected a lot from this course but at then end I just have basic idea of queries at the end of the course! Nothing in deep about Spark's core concepts. Also the assignment quiz on queries were very weird and not properly formed! The Week 3 assignmnet was not displaying feedback! It was a really messy course!