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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

4.7
2,108 個評分
422 個審閱

課程概述

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: https://www.coursera.org/learn/parprog1....

熱門審閱

CC

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!

BP

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.

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26 - Big Data Analysis with Scala and Spark 的 50 個評論(共 406 個)

創建者 Rafael M C

Jun 20, 2017

Content was useful, overall a good course. Lectures were kind of dull.

創建者 Jon Z

Jul 05, 2017

Great course, I learned a lot.

創建者 Nicolas D

Apr 13, 2017

Amazingly polished and well taught course although being given for the first time

創建者 Merel C H T

Jun 07, 2017

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

創建者 Raduś N

May 23, 2017

Awesome teacher - very engaging. This is probably first time when I am watching lectures with pleasure. Also you can easily feel that course is fresh and specially made for this unlike previous ones from Scala speciality.

創建者 William D

Dec 03, 2017

Excellent course! It's clear the instructor put a ton of thought and hard work into this. I learned a lot that I wouldn't have learned without taking this class. Thank you, Heather!

創建者 Adrien C

Jun 29, 2017

Interesting course, the last week feels most useful

創建者 Gregory E

Mar 10, 2018

Good course, shows a lot of useful and unobvious things about Spark. But not always has well described assignments

創建者 Dinesh A G

Apr 02, 2017

good course on spark.

創建者 Piotr A

Mar 16, 2017

Great course. Very informative. I have learned a lot. Lessons are very well prepared and structured. Implementation tasks are interesting. Thanks to all EPFL team. Great job!

創建者 Denis A Z Q

Aug 27, 2017

Course with excellent content, methodology and teacher. It was an extraordinary learning experience

創建者 Angel V

Aug 21, 2017

very usefull

創建者 Apostolos N P

Mar 15, 2017

I really enjoyed this course! First of all I would like to congratulate the people behind this effort. The videos are clear, to the point and they contain very useful information and tips that are very difficult to get from a book. I hope that you will continue with a second course on Spark and Scala with more advanced topics. Thank you very much.

創建者 Jijo T

Apr 13, 2017

It was well worth the wait! The instructor was good. Assignments were challenging as well as hands on!

創建者 Andronik

Jun 15, 2017

Nice introduction into Spark with details about how Spark works internally. This course also talks about when to use RDD/Dataframe/Dataset and performance pitfalls.

創建者 Prachi C

Sep 14, 2017

An excellent explanation of basic concepts of Spark using Scala. We covered the most important topics and ready to deep dive!

創建者 Canh S L

Mar 25, 2017

really good, informative

創建者 Daniel D

Apr 20, 2017

Great course - well prepared by the team.

創建者 César A

Mar 29, 2017

Excellent course. Fun and entertaining.

創建者 Alex S

May 05, 2018

Super course, well done Heather

創建者 Matthias T

Aug 17, 2017

Great introduction to Spark accessed through Scala. Didactically awesome.

創建者 Shashank B

Oct 15, 2017

It is an excellent course with good clear explanation of theoretical concepts and practical examples.

創建者 Carlos S

Jan 23, 2018

Very good !! ... Thanks Heather Miller for such cool class !! (Y) <3

創建者 AJ C

Apr 09, 2017

This course is a nice guided way to get started with Apache Spark! I wish I took this course earlier when i was using Spark at my previous company. It would've come in handy. Plenty of great content and the course exercises supply good practice.

創建者 Max Z

Mar 04, 2018

Excellent. I learned a lot from this course, even though I did not know much about scala. Strongly recommended this course