Taming Big Data with Apache Spark and Python - Hands On! (Udemy.com)

Very explanatory

Excellent course, useful examples

Just walk through half of the videos, most of them are just read code out loud without teaching organized or structured knowledge.

Although all concepts are explained with ease but there are lot of things which are missed which are very important . PFB these points :-
i)No description on the type of joins in Dataframes
ii)Not much real world examples
iii)Spark integration with Kafka which is the most used scenario is missing
iv)Static configuration to run a spark job on cluster i.e no of cores and no of cores per executor , no of executor is missing .
v)Link which is being provided to install spark on linux is outdated and doesn't contain enough information with respect to running newer versions of spark on linux

Excellent course for Beginners and even intermediates. The advances codes in this course are useful to get a feel of the real world use cases and complex lines of codes.

Frank makes learning Apache Spark simple and easy. It has a good amount of hands-on activities and exercises to get started. Recommended for beginners.

Gave me a solid understanding of what Spark is and how to use it in a business setting! The examples covered were sufficient to get started with Spark.

Yes, the slides could have included some pictoral representations showing the structure of
RDDs in context of datasets and how they are spread accross clusters to make us understand concepts well enough. Though the explanation is fine, the better slides could've made it better understandable.

The course covers a number of topics without rushing through any of them. It is well supported and questions are answered reasonably quickly.

Fun

good hands on practice with clarity over the concepts.

An excellent refresher on spark