The course does a good job comparing Spark’s distributed processing with traditional ETL tools, so you understand why Spark is used.

Learners get a solid understanding of transformations, actions, filtering, joins, and aggregations using real code examples.

The emphasis on applied Spark SQL, transformations, and JDBC integration gives you real working skills.

Helps build a strong foundation in distributed data processing

I liked how this course didn’t just talk about Spark, but actually showed me how to build and run ETL pipelines — that’s rare in short courses.

At roughly a few hours of content, the course doesn’t overwhelm and is easy to complete in a weekend or short crash-learning session.

Overall a decent starting point, but learners may need additional resources to fully master more advanced Spark features.

You feel productive quickly because you’re writing working Spark jobs.

Course pace is a bit fast, especially for learners new to Spark concepts.