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Kursteilnehmer-Bewertung und -Feedback für Big Data Analysis with Scala and Spark von École Polytechnique Fédérale de Lausanne

4.7
2,082 Bewertungen
418 Bewertungen

Über den Kurs

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....

Top-Bewertungen

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!

CR

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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1 - 25 von 402 Bewertungen für Big Data Analysis with Scala and Spark

von Kuntal G

Apr 01, 2017

Very Nice and effective course. One of the best course i have done on Spark online. Many Thanks to the course instructor Heather Miller for creating a very detail and updated course on Spark.

von Luiz C

Jan 27, 2019

If you know the subject, may be easy. If you don't know the subject, too dense and abstract with not enough practical examples/exercises before the assignments (specially for week4). Would have been better to break the videos into smaller ones, include more practical concrete examples/exercises during the videos (as very well done by Pr. Obersky during the 1st Course of the Specialization). There could have been room to break week4 into material for 2 weeks. Still, inresting.

von Rodion G

Apr 15, 2019

Course is good to have some practice in spark and scala. However it seems to be long forsaken by staff and some issues with assignments require doing archaeology in the forums. Also it is quite unpleasant to see that while specialization emphasizes functional programming, some auxiliary code in assignments is written in the worst manner of imperative programming... Why use scala then?

von Konrad C

Jan 27, 2019

A lot things to learn and experiment.

Challenging assignments.

von David F S

Jan 15, 2019

Very informative. Well-organized presentation.

von Murat A

Jan 20, 2019

It was very challenging, but also informative. Thanks a lot.

von Navjinder S V

Dec 18, 2018

Great Course content with amazing and challenging assignments!

von Sreeraj R P

Jan 07, 2019

Very good course for a great start in Spark. Require some initial knowledge and coding experience in Scala.

von Andrey M

Jan 10, 2019

Thank you for the great introduction in to the Spark, What it is and What are the most commonly used APIs.

von sheng w

Jan 10, 2019

Very useful course and great materials and assignments.

von Robert C M P

Feb 12, 2019

Excellent videos, explanation, and resources!

von Симкин И М

Mar 10, 2019

Perfectly. Very competent teacher and good tasks. Requires knowledge of scala.

von Varlamova E

Mar 10, 2019

It was amazing!!! Very useful course!

von Edgar D

Mar 10, 2019

Favorite so far out of the Scala Specialization Course. It was executed really well, and taught really well, too. Kinda wish they would add more exercises to help us get more experience with some of the concepts, but that's something you can always just do by yourself either way.

von Šejla Č

Mar 20, 2019

Brilliant lecturer and slides! The only problem is assignments not being clear on the expected outputs. Sometimes it takes more time to figure out what exactly is asked than to find the solution. A few more test cases or detailed examples would help.

von Denys L

Dec 05, 2018

Very nice, but a little bit outdated course

von Yacine G

Dec 23, 2018

FANTASTIC!!! I don't even know which was better: the course material quality, the instructor's approach or the assignments. FANTASTIC!!!

von Subodh C

Mar 30, 2019

Thanks Prof. Miller !

von Kevin L

Apr 02, 2019

I loved this course - it was a great introduction to Spark. At the end, I wasn't (and am still not) clear on type-safe operations on Datasets, and now to write Tests to verify this.

These will be one of the targets of my upcoming research and study.

von Ngoc-Bien N

Apr 04, 2019

bon cours

von Msellek A

Jan 26, 2019

Great course ! Thanks for the effort

von Johan R

Dec 28, 2018

Very good introduction which gets you to be productive on your own

von Andrzej J

Mar 20, 2017

Great course, presentations prepared with passion, exercise of right level....

von Atsuya K

Oct 30, 2017

A good quick intro to Spark.

von Markus B

Apr 10, 2017

Great course overall. The feedback on failed tests and out of memory errors on the assignments can be improved to make it more user-friendly.

Would be great to see a more advanced version of this course that dives deeper into the machine learning features of Spark, etc.