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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

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.

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!

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

創建者 Roberto S

Jul 04, 2017

Quite advanced; links seamlessly with the previous courses in the specialization. Very rewarding.

創建者 Kolja M

Mar 25, 2018

Very nice in depth learnings. The teacher is very good and keeps the lessons short but still meaningful.

創建者 Hessam S M

Mar 25, 2018

Excellent course. I had some knowledge about Spark before but this course helped me to leverage my skills from pure theory to something practical. Now I have the confidence I can use spark to solve real life problems. This specialization as a whole is totally changing my career prospect. Thank you EPFL, Dr. Miller and Coursera for providing such opportunity for me.

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 German A S G

Apr 23, 2018

Good course, it goes beyond functional algorithms and teaches also about how to improve performance of the cluster

創建者 Heitor M G

Feb 20, 2018

I really enjoyed the course, specially the first 3 weeks. Week 4 videos could be split in more videos, it felt as if they were not reviewed as much as the other weeks videos. Anyway, the whole course is really good.

創建者 Jakub T m G

Jun 27, 2017

good introduction into Spark

創建者 Canh S L

Mar 25, 2017

really good, informative

創建者 Alvin H

Apr 04, 2017

Awesome Course . Detail and Depth of RDD vs Dataframe vs Dataset.

Latency vs Network/IO vs Shuffling.

Learnt a lot .

Thank you Heather.

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 Nikola M

Apr 03, 2017

Good overview of the subject, covering all important aspects. Assignments were well prepared, with a couple of unclear points that were quickly discovered and explained on the forums.

創建者 Ubaldo P

Apr 10, 2017

It is a course well organized, full of useful notions e with good assignments to assess your progress in learning stuff.

創建者 Peter T

Apr 07, 2017

Enjoyed the course and learnt lots. Stimulating material. Though I feel that the week 4 material could be made more concise. On the whole would recommend to other interested and it will definitely help in my career.

創建者 Pushkin G

May 06, 2018

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

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 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 jiajie

Jul 09, 2017

Learn a lot things about spark. Thanks!

創建者 Jiri K

Apr 08, 2017

Awesome! Perhaps couple of tests would be handy, just a few to have something to start with.

創建者 Varun R

Sep 22, 2017

Greate course to get an overview of Spark. Heather's teaching style is awesome. Her style really helps to connect the dots. Explains a lot on 'why' along with 'how'. To get full benefit, do as a continuation of other scala courses in the specialization. It would have been nice if there was a gentle intro to other areas like ML and Streaming. Great course.

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 Tomasz J

Apr 09, 2017

Great, short course, which gives great insight into Spark and ad-hoc data processing on Hadoop-ish clusters.