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Avis et commentaires pour l'étudiant pour Big Data Analysis with Scala and Spark par École polytechnique fédérale de Lausanne

2,074 notes
418 avis

À propos du cours

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:

Meilleurs avis


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!


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.

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151 - 175 sur 402 Examens pour Big Data Analysis with Scala and Spark

par 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!

par 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 !!

par Fang Z

Apr 06, 2017

Very good course.

par Alejandro R C

Aug 14, 2017

Everything was easy to understand

par Hermann H

Jul 19, 2017

Great material !!! ;-)

par Buddhika L S

Feb 17, 2018

This is a good course if you already know the Scala language and looking to improve your theoretical understanding of Spark programming.

par 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

par 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.


Apr 23, 2017

Instructor has been explaining the concepts with more practical direction

par 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.

par 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.

par jiajie

Jul 09, 2017

Learn a lot things about spark. Thanks!

par Jiri K

Apr 08, 2017

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

par 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.

par 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.

par 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.

par Tomasz J

Apr 09, 2017

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

par Konstantin K

Apr 12, 2017

good stuff, compared to the other similar course in PySpark this one gave me a lot more understanding of how things work in Spark on the low level

par Hristo I

Apr 09, 2017

This is a great course on the intricacies of Apache Spark. It is not a general Big Data course, neither is it an easy one. Doing the programming assignments properly requires reading a lot trough the Spark documentation, which I personally liked as part of the challenge, but beware if you are not that type of person or aim at finishing the course as quickly as possible.

par Roberto S

Jul 04, 2017

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

par Guixin Z

Apr 05, 2017

very nice material and organized very well. still amazed what spark can do with the data.

par Art P

Mar 10, 2018

Thank you! Some additional examples would be appreciable.

par Ignacio A

Apr 17, 2017

This course is a great introduction to Spark. The only thing I think could be improved is that each programming assignments has unit tests that drive students towards the final solution. I saw lots of people complaining in the forums about this slow and tedious back and forth of having the grader testing their code.

par Kolja M

Mar 25, 2018

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

par Peter S

Apr 02, 2017

Another fun Scala course!