Big Data Analysis with Scala and Spark

Great introduction to Spark.

Concepts covered here are very helpful though and it is a useful introduction to Spark.

I enjoyed the exercises and thought it gave a good introduction to Spark.

A great introduction to Spark !!!

Good introduction to Spark.

This course is a great introduction to Spark.

good stuff, compared to the other similar course in PySpark this one gave me a lot more understanding of how things work in Spark on the low level Generally a really good introduction to Spark.

Great introduction to spark.

Great introduction to Spark and it's data structures.

bon cours I loved this course - it was a great introduction to Spark.

Very good introduction to spark.

Great Introduction to spark.

Very good course, it is a must for anyone who is starting in spark using scala, thanks a lot, it did really help me Nice introduction into Spark with details about how Spark works internally.

very good course, really enjoyed The sessions where clearly explained and focused.

Very good course, but it needs more details and examples.

Kudos to Professor Miller, we love you :-) Very good course.

Very good course for a great start in Spark.

Very good course for learning and practicing Spark.

Very Good Course For College students who completed and wants to start professionally.

you cannot complete them just by following the course material, forcing you to waste quite a lot of time either: (1) learning from other sources; (2) looking for answers on the forum; or (3) brute forcing an answer till rage quitting :)another bad point: the course is supposed to be focused on spark & big data analysis but it has 1-2 lectures (around 40-60 mins) pretty much devoted to showing some SQL.

It is not a general Big Data course, neither is it an easy one.

The course gave me insight into the world och big data batch processing and how Spark solves it.

goot as introduction about spark and big data.

Todos los conocimientos obtenidos me serán de mucha ayuda en mi camino hacia el mundo de Big Data good but give more practical of small program The instructor is great as well as the material.

Great course about Big Data analysis It was my first exposure to Big Data frameworks and I learned a lot about the problems trying to be solved and the power of Spark.

Very well explained, a very well teacher Helpful for anyoe who wants to start with basics of Spark The lecture is well-organizedand excellent Best Course for Big Data Learning in the World really good material, well explained with many examples.maybe more information or precisions should be added to the assignments but good material and explanations Liked the course.

This course allows me to learn so many things about data analysys and Big data modeling.

this is an outstanding course to learn BIg data with scala and spark Incredible tutorial!!!!!!!!!!

A nice course to start with learning basics of Spark with Scala, however it has missing things like broadcast variables, what are tasks/executors in Spark etc.

It is very good course material for Spark with scala.

As always, Coursera delivered another top quality courses on Spark with Scala.

The exercises are a little off topic Great introductory course on Spark with Scala.

Really well explained and planned.

I really liked the assignments in this course and all the content was well explained.

excellent quality of content Great subject, well explained with solid weekly assignments make this course a stellar learning experience.

Great course, well explained, instant value!

the theory is very clear and well explained.the practical assignments are a little bit ambiguous but they are overall very good and challenging.

I really enjoyed going through the course, and I learned a lot.

I learned a lot and I really enjoyed the course.

I really enjoyed coding the assignments.

I really enjoyed this course!

Great course, I really enjoyed learning!

I highly recommend this course!

The tasks were fun and like those you would find in the wild.I already applied some of the skills I learned here at work and successfully implemented a simple recommendation engine that will go to production next week.Highly recommend this course!

Dr. Miller apparently did a very good job.

Thanks to Dr. Miller for such a great course.

It was amazing how Dr. Miller used concepts that were meticulously built up in the earlier courses, such as evaluation strategy, functional collections, reactive programming, and associativity, to describe the core of Spark in only four units.

Thank you Dr. Miller course needs to be updated really great course, it help me fast get into the new area.

Many Thanks to the course instructor Heather Miller for creating a very detail and updated course on Spark.

The subject was not covered to the same level of detail that the other subjects in the course were given.These are minor points.Well done, Dr Heather Miller!

Excellent explanations by Heather Miller.

Accompanied with awful practice lessons: - code templates are written with little to no style, even file reading is done in 3 different ways in all 3 lessons; - grader output is very confusing and almost useless; - unit tests, very useful to avoid some common caveats, were present in the first lesson, disappear completely in the last one.Probably following spark's programming guide is better time investment, even if it misses some "humanity" of video lectures Amazing lectures, and challenging tasks to do on the way.

Course Assignments consumed more time than anticipated, as they required the knowledge from upcoming week's video lectures.

Excellent such a beautiful course design for a bigData devlopers The video lectures are good but code assignments are worse, seems like they were written by students instead of professor or something.

I'd done some prior work with Hadoop/Pig in the past and more recently with Spark (mainly DataFrames/GraphFrames) - this was really useful to round out my understanding of RDDs and optimisation.The assignment guidance in the code comments could be more complete to save having to refer back to the site (and maybe reference specific video lectures with the hints).

Very good introduction to RDDs and DataFrames/Dataset along with valuable insight into performance considerations.

The previous courses had difficult assignments and you had to think about how you wanted to do something, here the problem was using the Spark API and understanding things which weren't explained in the lectures.

The exercises were below the standard of previous courses.