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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
2,098 個評分
421 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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101 - Big Data Analysis with Scala and Spark 的 125 個評論(共 405 個)

創建者 Jean-Francois T

Mar 27, 2017

Good material and induction to Spark, good complement of parallel computing in Scala

創建者 Konstantin

May 29, 2017

Nice course, thanks!

創建者 Antonio A

Oct 20, 2017

Clear explanations, with emphasis done on the important/practical stuff. From zero to a general understanding on Spark and the available tools in 4 weeks.

創建者 Mostafa J

Jun 13, 2017

Very challenging but I learned a lot.

Thanks a lot, Dr. Heather Miller!

創建者 Nebiyou T

Dec 26, 2017

Very good instructor!

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.

創建者 Florian B

Nov 18, 2017

Super cours, merci beaucoup! EPFL always rocks.

創建者 Husain K

May 07, 2017

Great course, learnt a lot from it. Thank you.

創建者 Kushagra V

Jun 14, 2017

Very nicely taught. Liked these "long" lectures of 15-20 min where the instructor gradually builds the material around the topic. Most other courses online, especially Udacity has frustratingly short videos where more than half the time the student has to keep clicking to the next video. Material coverage is sufficiently wide as well and the curriculum is freshly designed which is very important in this field.

創建者 許致軒

Apr 16, 2017

Very Very Interesting and helpful!

The slides' layout is very clear and step by step for each important topic.

The motivation of why we need dataframe and dataset and what's their difference is explained with a logical and reasonable way!

創建者 Parker G

Apr 10, 2017

Great course! The powerpoint/slides/pdfs are a GREAT resource

創建者 William H

Sep 06, 2017

Outstanding

創建者 CAI X

Jul 16, 2017

Well explained and demoed . Good introduction to spark, the most useful big data framework!

創建者 Laurent S

Apr 02, 2017

Fantastic initiation to Spark. Thanks Heather and the whole team at EPFL & Coursera.

創建者 Animesh K

Mar 17, 2017

Really Awesome course. The instructor is great. Looking forward to more courses from Heather.

創建者 Luis M M S

Jun 21, 2017

I loved this course

創建者 Prashant P

May 12, 2017

Awesome course !

創建者 Imran K

Apr 08, 2017

As always, Coursera delivered another top quality courses on Spark with Scala. I have learned a lot of details, understood the underlying working principles of Spark in the last few days. Thanks to Dr. Miller for such a great course. I hope in the future versions of this course the overall presentations will be more smooth and typo-free.

創建者 Manoj K

Aug 27, 2017

This course make me to fall in love with SPARK framework :)

創建者 Vlad N

Apr 03, 2017

Nice topics regarding using partitions for Spark and encoders!! Really interesting course

創建者 Stephen E R

Mar 27, 2017

A superb course taught by a superb lecturer. From a lecture stanpoint, my only recommendation is that additional lectures be provided to flesh out the coverage of Datasets. I found the assignments challenging and a good reflection on my understanding of the course material. I would recommend only the following tweaks:

Week 1 assignment: Either tightly specify the function that determines if a particular String is present in a large textstring OR provide the function in the assignment skeleton. There are too many ways to approach this function that are correct, but different than the one the grader used. This function is only incidental to the goal of applying one's knowledge of Spark to the assignment.

Week 4: Allocate additional lectures to flesh out the coverage of Datasets. 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!

創建者 Xiongchu W

Aug 05, 2017

This course is indeed introductive to learn all the necessary stuffs about Spark. It is pretty good to tell much about shuffling. Because we should not only be familiar with how to operate on Spark, but we should really have a good understanding of what's going on underneath the hood. Thanks!

創建者 Álvaro L L

Jun 11, 2017

A great introduction to Spark !!! An esential course to anyone interested in the field! Thank you very much Heather and the EPFL team !!

創建者 Fang Z

Apr 06, 2017

Very good course.

創建者 Benzakoun S

May 08, 2017

excellent quality of content