Chevron Left
返回到 Big Data Analysis with Scala and Spark

學生對 洛桑联邦理工学院 提供的 Big Data Analysis with Scala and Spark 的評價和反饋

2,108 個評分
422 個審閱


Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance. Learning Outcomes. By the end of this course you will be able to: - read data from persistent storage and load it into Apache Spark, - manipulate data with Spark and Scala, - express algorithms for data analysis in a functional style, - recognize how to avoid shuffles and recomputation in Spark, Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming:



Jun 08, 2017

The sessions where clearly explained and focused. Some of the exercises contained slightly confusing hints and information, but I'm sure those mistakes will be ironed out in future iterations. Thanks!


Nov 29, 2019

Excellent overview of Spark, including exercises that solidify what you learn during the lectures. The development environment setup tutorials were also very helpful, as I had not yet worked with sbt.


226 - Big Data Analysis with Scala and Spark 的 250 個評論(共 406 個)

創建者 Mani P

Apr 09, 2017

Excellent material. Very good flow. Heather has an amazing way of walking through the flow and simplifying the concepts. Great assignments -- takes a bit longer than 3 hours.


Feb 02, 2018

Great course!

創建者 Evaldas M

Apr 08, 2017

great course, finally understand what spark is all about!

創建者 Vishwanath G

Mar 17, 2018

Learnt a lot with this course. Excellent explinations of concepts..

創建者 Martin A

May 03, 2017

Great course, good intro into Spark.

創建者 Mykola S

Jun 30, 2017

Great course with nice explanations of some Spark concepts. The third week was particularly useful for my understanding of Spark shuffling and partitioning. Thanks a lot!

創建者 Adel F

Jan 08, 2018

Course is solid, useful concepts are thought. Assignments are interesting.

Points for improvement:

I wish this course was 2-3 courses focusing on topic with more assignments. If a concept is reviewed by the student is not challenged with tough questions the concept is not learned. People taking this course are already advanced enough to tackle difficult challenges, sometimes it appears that instructor assumes that students are entry level.

A note for online instructors: avoid jokes. They do not work online.

I think a specialization on applications of spark with scala covering AI, graph and text processing would be interesting. Overall thanks for the effort; pretty good.


Apr 16, 2019

Everything was excellent. This was one of the best courses I have attended so far

創建者 Kevin L

Apr 02, 2019

I loved this course - it was a great introduction to Spark. At the end, I wasn't (and am still not) clear on type-safe operations on Datasets, and now to write Tests to verify this.

These will be one of the targets of my upcoming research and study.

創建者 李帅鹏

May 02, 2019


創建者 Light0617

Apr 14, 2019


創建者 Ngoc-Bien N

Apr 04, 2019

bon cours

創建者 Subodh C

Mar 30, 2019

Thanks Prof. Miller !

創建者 Fábio A R

May 13, 2019

Excellent course, very handful for whoever is starting his studies in spark.

創建者 Joël V

May 17, 2019

The course presented the concepts in a clear and exemplified way. Tough, it was a bit too verbose.

The exercises were not too hard and thorough enough to cover the concepts presented in class.

I wished there were more exercises as Spark's API is huge and sometimes a bit tedious to use thus being hard to quickly get confident. I hope that the capstone project will help for that.

創建者 AOC

May 17, 2019

Very engaging and tutor showed excellent delivery. thanks to Coursera.


Jun 10, 2019

Excellent explanations by Heather Miller. She really knows how to explain a topic, and also makes the lectures a lot of fun to listen !

創建者 Daniele M

Jun 22, 2019

Great Introduction to spark. Programming assignments helped me to improve my skills. Thank you very much.

創建者 Beibit

Jun 27, 2019

Very nice course. Good level of explanations, good examples and pace.

創建者 Carsten I

Jun 30, 2019

Excellent class, very well stuctured, clear and informative.

創建者 Marija N

Jul 05, 2019

Absolutely fantastic!

創建者 Alexey A

Jul 13, 2019

The most interesting course in whole specialization.

創建者 Rajesh B

Jul 17, 2019

Very nice explanation, trainer has good knowledge, course materials are good, video quality is too good.

創建者 Yury C

Jul 18, 2019

This course was by far the best of 22 courses I've done on Coursera. Prof Miller has this rare ability of presenting material in concise and interesting way and yet going into nitty gritty aspects when needed (in another course on Spark technology, such intricacies weren't covered). Thanks a lot for this course!

創建者 Santiago A

Sep 23, 2019

Awesome course and awesome teacher! Nevertheless, to grasp the most of this course, you should do the previous 3 courses of the "Functional Programming in Scala" specialization.