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

4.7
2,070 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: https://www.coursera.org/learn/parprog1....

Meilleurs avis

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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251 - 275 sur 402 Examens pour Big Data Analysis with Scala and Spark

par savitri v v

Jul 27, 2018

Very good learning portal

par shubham m

Jul 10, 2018

good but give more practical of small program

par Saiteja t

Aug 01, 2018

Nice session

par Marc K

Sep 09, 2018

Great course explained with great detail

par Karim M

Oct 15, 2018

Amazing course, i learned a lot even if i'm working with scala and spark

par Natalija I

Sep 26, 2018

Great course, I really enjoyed learning! Thank you Dr. Miller

par Anand S

Aug 14, 2018

good implementation of programming knowledge recieved

par Abhay D

Nov 04, 2018

Wonderful course. Helped me a lot.

par Massimiliano D

Nov 14, 2018

Great course over Spark. It shows the syntax, but more than this, it shows the problems, the caveats, the optimization and the architecture from a wide point of view.

The assignment were designed to focus right to the point: they managed all the configuration and initialization code of the project, leaving the student to fill only the most important part, with the resulto of having, at the end of the course, working projects that could be used as "cheat sheet" to remember all the material of the course.

Massimiliano.

par Camila G W

Nov 16, 2018

Amazing course!

par Rajesh K S

Oct 09, 2018

Excellent Cou

par Bora K

Sep 01, 2018

Teacher has excellent teaching skills. She takes enough time to go through to concepts. Before introducing a new technique she teaches why the new technique is needed and explains how it solves existing problems. Absolutely great course.

par Arthur-Lance

Sep 15, 2018

really great course, it help me fast get into the new area. thanks a lot!!!

par Sivakumar P

Nov 29, 2018

Course is very useful to understand Spark and Scala things.

par Fábio A R

May 13, 2019

Excellent course, very handful for whoever is starting his studies in spark.

par Light0617

Apr 14, 2019

wonderful!!!

par 李帅鹏

May 02, 2019

Perfect!

par BOUDRAHEM

Apr 16, 2019

Everything was excellent. This was one of the best courses I have attended so far

par Daniele M

Jun 22, 2019

Great Introduction to spark. Programming assignments helped me to improve my skills. Thank you very much.

par Beibit

Jun 27, 2019

Very nice course. Good level of explanations, good examples and pace.

par Carsten I

Jun 30, 2019

Excellent class, very well stuctured, clear and informative.

par Marija N

Jul 05, 2019

Absolutely fantastic!

par Ronald C M

May 14, 2019

The best way to get to know Spark Fundamentals and Spark Core libraries

par Joël V

May 17, 2019

The course presented the concepts in a clear and exemplified way. Tough, it was a bit too verbose.

The exercises were not too hard and thorough enough to cover the concepts presented in class.

I wished there were more exercises as Spark's API is huge and sometimes a bit tedious to use thus being hard to quickly get confident. I hope that the capstone project will help for that.

par AOC

May 17, 2019

Very engaging and tutor showed excellent delivery. thanks to Coursera.