Apache Spark with Scala - Hands On with Big Data! (Udemy.com)

This was a really good experience. I had zero experience in Scala before follow this course but now I'm not afraid of it and with the hands-on examples, I understood everything. I'm able to use it in my job now. Thank you mr Kane, you are the best teacher !

As a new learner of Spark Scala, I don't get much insight and explanations from the course. This course is like brush up for persons who are already familiar with Spark Scala. Course should have much explanations on the codes, like why using particular function, what does the function will do, what happens if we omit udf function , like these explanations are needed for beginners, but course lacks those detailed level of explanations.

This was one of the best courses I've taken in my life; it is very clear, with lots of examples and practical exercises. You star programming right away. I have learned a lot with this course and I have since been programming in Scala and Spark in my daily work. Excellent content!

Frank Kane is such great instructor!! The course is so instructive, and you can get a nice initial contact to Apache Spark and Scala programming language. There are several exercices to be done, so you can learn by doing. I recommended the course to anyone needs to get a knowledge about Apache Spark.

Great Lector! Thanks! As an intro to spark, it's a good course. Otherwise, I would benefit from more info about DataFrames, importing Hive tables, data cleaning. More general structure about Spark and how to think about different use cases would be helpful, not only 1-2 examples, which seemed random to me. But really good teaching style, positive, energetic, interesting, inspiring - I appreciate that a lot! Thanks! :)

Experience was quite good. It is a very good course for beginners and absolute fun. The exercises are easy and real time synchronized. It does not focus on theory stuff of Spark but more on practical stuff which is a plus point but at times when one does not know about how a specific command functions or what is the logic behind the implementation of a particular function, theory about the tool comes in handy which is quite less in this course.

I liked Frank Kane's teaching style. I feel confident to gather and explore more in SPARK after after listening to these lectures. Thank you Frank !! Also kindly include section on analysis using Spark Web UI, Debugging both standalone and cluster applications. Including debugging using scala ide would be helpful.

A Spark and Scala hands-on course for developers, straightforward and pragmatic, with useful deeper insights from time to time. I appreciated Frank teaching style, the step-by-step configuration with Q&A and (few) fixes, well balanced exercises/theory and completeness (Scala crash course and sbt tool I found very useful). I suppose this course is targeted to a general Spark "user", but I'd suggest to spend a few more minutes on Spark architecture, to explain what happens behind the scenes in core features, such as clustering (how master manages resources, or how distribute code dynamically, for example) or what exactly is or not is an RDD or how DAG/Stage/Task work. That would be more value added to presented use cases which seem to me nonetheless very interesting and reasonably complex. Thanks Frank for the good course and updates! See you on real projects!

It was a real good learning opportunities. Below are the few goods things which I write. 1. Very to the point content 2.Perfect delivery of the content 3.Good coverage of the course with real time examples. 4.A clear and loud voice with great sentence punctuation along with great knowledge of emphasis excites Below are the points what can be added. 1. It is good to have a complete theoretical session on Spark Functions with the real understanding of flow. 2.Scala functions are the one that covers most of the things here broadening lectures on them would help. Thanks a lot Frank and Emad for educating us.

Frank is a uber cool instructor, makes the code look darn simple. The best part is the structuring of the course-scala basics, spark basics, advanced spark, other spark packages... with example code for each section makes learning conducive. Advice to Frank:- You could add slides as pdf for quick revision by students.