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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

2,098 個評分
421 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.


176 - Big Data Analysis with Scala and Spark 的 200 個評論(共 405 個)

創建者 Jakub T m G

Jun 27, 2017

good introduction into Spark

創建者 Giuliano C

Jul 02, 2017

Excellent course, my only suggestion would be to split week 4 into 2 weeks

創建者 Pushkin G

May 06, 2018

Very useful lessons. Great way to get started on Spark.

創建者 Amit

Apr 10, 2017

Production quality exercises. Prepares one for working on Spark almost immediately.

創建者 Liu D

Jul 26, 2017

Great speeches with great exercise

創建者 Аркадий К

Aug 07, 2017

Very good for Scala beginners and students who are entering the world of Big Data

創建者 Akash

Mar 12, 2018

Thank you Dr. Heather Miller and the EPFL team along with coursera team for this course. I found it interesting. It gave me complete insight of spark. I had a great start with spark.

The internal working of spark API, the shuffle operations, query optimization and many more tips are really useful. Thank you once again.

創建者 Natalia G

Mar 28, 2017

goot as introduction about spark and big data.

Small notice: it is incorrect to compare performance hadoop and spark. As I understand, spark was expected to be compacred with MapReduce.

創建者 Choy R

Apr 10, 2017

Great introduction to spark. Fun assignments. Since it was the first ever session, there were quite a few kinks with the assignments. But the discussion forums rescued me any time I was stuck.

創建者 Aleksander K

Apr 02, 2017

This class is great! Highly recomended! It helped me to understand and perform better at my daily working tasks!

創建者 srinivasa k

Jan 02, 2018

I really liked the course, it gave me head start on spark definitely there is much more to learn, nice intro course.

創建者 Zilvinas

Mar 27, 2017

Very fun and informative!

創建者 Javier O

Jul 11, 2017

Easy to follow. Really well explained and planned. Strongly recommended.

創建者 Jong H S

Aug 18, 2017

A wonderful and timely course.

創建者 Rocky J

May 08, 2017

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

創建者 Igor Y

May 29, 2017

This is my first cource review on English, but I want to do accent on Heather's high professionalism, great explanations abilities and great organisation of material. I need to say that I have education of computer science teacher and I can say that it's wonderful cource. It was difficult for me and I've really increased my skill. Thanx.

創建者 Aleksander S

May 05, 2017

Amazing lectures, and challenging tasks to do on the way. I really enjoyed going through the course, and I learned a lot.

創建者 Shiyan C

Mar 06, 2018

Wish we could have an in-depth spark class that cover spark streaming and structure streaming.

創建者 Thomas Z

Feb 10, 2018

Good course. Can recommend it for everyone who wants to get into the field of data-science.

創建者 Arnaud J

Jun 02, 2017

Great course. Would definitely recommend.

創建者 Venkat

Jun 01, 2017

Awesome video lectures by the instructor. The content is very good and i fee i gained good knowledge. I really loved the series.

創建者 vikas s

Jul 28, 2017

awesome course content

創建者 Jose M N F

May 28, 2018

Great course. Thanks for everything.

創建者 vijay k k

May 07, 2018

Good course to learn it

創建者 joao d s

Apr 09, 2017

Really helpful, it's a really good way to get to know how spark works as well as a good round up on basic data mining.