Bewertung und Feedback des Lernenden für Distributed Computing with Spark SQL von University of California, Davis

Great Course for Beginners...!!!

Very Good Course Content

very easy to follow up!

Good course for spark

Fantastic Course!

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cosa bien hecha

Nice work! Thnx

Great course!

Great Course

great course

Very good

AWESOME

great

done

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good

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I liked how the instructors delivered material; their videos were informative and easy to follow, and they did a good job. The assignments were fine, especially the quizzes. I got a good sense of why distributed computing is useful and how to do it in spark.

I will say that the course material might be too complex for the time allotted. I think the instructors did a good job, but some of the topics were pretty advanced and likely required some knowledge that was beyond the scope of the course. Some of the assignments reflected this. In some of them, I was writing most of the code and could follow what was happening pretty easily. By the last assignment, though, I was pulling code from custom packages that the profs had written and doing regressions using equations that they wrote out for me. I think that was necessary-- going through all of this would have been too time-intensive for this course-- but if I had to write a ML model by myself, I doubt I could do it.

BUT, I definitely understand the models on a conceptual level. In this sense, the course was very successful. While I likely couldn't reproduce a lot of the code, I understand the computer science behind a lot of it. So overall, I think the course was very strong.

Overall a lot of knowledge and an interesting course. I was disappointed that the last part focused more on Machine Learning instead of on databases, data lakes etc. as I feel this would be more relevant to the specialization.

I did not like the assignment as they were not demanding enough. Majority of the code was written for us, it did not require us to analyze the code more to actually understand what we are doing and learn it.

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.

The course was a struggle. I didn't take calculus or trigonometry. So, the square root means was a bit over my head. It was nice that the machine learning queries were already in the assignments. However, it would have been helpful to explain them better. Then I would be able to understand why they are written a specific way and how to read them.

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.

It was very helpful to me.

I would improve the assignments' design. Sometimes it felt like something was missing and not very clear, at least not as it is in the real world. And I loved Brooke's way of teaching.

This course provides hands-on experience in using Databricks's Spark. I learned a lot. I recommend people with some SQL experience to take this course for efficient programming skills!