Overcoming Common Performance Issues in Apache Spark (Udemy.com)

This course is excellent for understanding the theory behind Spark performance issues. I liked how the instructor explained Shuffle, Skew and Spill in simple words, without making it too complicated and helped me understand the "why" behind performance problems, not just the "what". A humble request: It would be great if you make a follow-up course, more hands-on, where we take actual Spark jobs (similar to what we face in corporate/production environment) and walk through identifying performance issues using Spark UI, logs, execution plans, and then fixing them step by step with real code. Many of us know the theory now after this course, but connecting it to real project scenarios will make it complete. Even a case-study based approach (like "this job was taking 2 hours, here's how we found the bottleneck and brought it down to 20 mins") would be super valuable. Overall, excellent course for beginners to understand Spark performance concepts. Just needs a practical/applied version to go with it.

Short and Precise. Could have Improved by showing live examples.

The good part: The information is useful and the course is concise. The bad part, not necessarily for all: The author's manner of speech with redundant sounds, smacking between phrases. It's uncomfortable to listen. The neutral part, kind of good too: Theoretical courses are also needed. This format is perfectly OK.

great course thanks

Great overview of Spark and the solutions to some common performance issues, would definitely recommend for anyone starting off with spark!

Great course, highly informative and straight to the point.

Brilliant course, very relevant to my work in Data Analytics (working with large datasets in AWS cloud). The presenter speaks well and is very clear, and the course moves at a good tempo.