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Retour à Big Data Analysis with Scala and Spark

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

2,333 évaluations
477 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!


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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201 - 225 sur 460 Avis pour Big Data Analysis with Scala and Spark

par Ravi S

Jul 06, 2017

Course material is pretty good. Week 2 assignment is hard.

par Nikhil R

Nov 09, 2019

Helpful for anyoe who wants to start with basics of Spark

par Art P

Mar 10, 2018

Thank you! Some additional examples would be appreciable.

par Evaldas M

Apr 08, 2017

great course, finally understand what spark is all about!


May 28, 2020

Very good course to understand Apache Spark using scala.

par Charmy G

Jan 13, 2020

Loved it all!! Thanks for the good information on Spark.

par Ismail A I

Apr 09, 2017

A very interesting and useful course.

Highly Recommended!

par sheng w

Jan 10, 2019

Very useful course and great materials and assignments.

par Pushkin G

May 06, 2018

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

par Faiaz S

Jul 13, 2017

There is some little mistakes in course(like on slides)

par Fabian D A

Apr 28, 2020

Excellent material and challenging exercises, love it!

par Mohamed R A

Jun 30, 2020

Amazing course, thanks for the professor and Coursera

par Anand S

Aug 14, 2018

good implementation of programming knowledge recieved

par Oleg O

Jul 29, 2017

Good course, but sometime there are too much details.

par Ravikumar

Apr 09, 2017

It is very good course material for Spark with scala.

par Dmitriy K

Mar 20, 2017

Thanks Heather! You did a great job with this course.

par Robson R S P

Apr 13, 2020

If you are a spark beginner, this is a great course.

par Alexey A

Jul 13, 2019

The most interesting course in whole specialization.

par 李东恒

Jan 25, 2020

Very good course for learning and practicing Spark.

par Yuri R

Oct 24, 2019

Liked the course. Wasn't familiar with spark before

par Cliff R

Jul 22, 2018

Gives a good grounding in the fundamentals of Spark

par Kovalenko S

Jul 17, 2017

Курс очень понравился, спасибо большое за ваш труд!

par Adrien C

Jun 29, 2017

Interesting course, the last week feels most useful

par Juan L R A

Jun 19, 2017

Very good course and good materials for learning

par Florian B

Nov 18, 2017

Super cours, merci beaucoup! EPFL always rocks.