Chevron Left
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

2,568 évaluations

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


7 juin 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!


28 nov. 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.

Filtrer par :

326 - 350 sur 508 Avis pour Big Data Analysis with Scala and Spark

par Oleg V

29 janv. 2023

Awesome course!

par Jędrzej B

22 mai 2020

Nice and clear.

par Camila G W

16 nov. 2018

Amazing course!

par Andrii P

9 avr. 2017

Just awesome :)


15 nov. 2020

useful courses

par Henoc M

26 mars 2017

Awesome course

par Moncef Z M

6 sept. 2020

Super cours !

par Rajesh K S

9 oct. 2018

Excellent Cou

par Jose C A

5 mai 2018

Muy Bueno!!!!


1 févr. 2018

Great course!

par Jose E T

2 juin 2017

Great Course!

par Emiliyan T

9 avr. 2017

Magnificent !

par Light0617

14 avr. 2019


par Saiteja t

1 août 2018

Nice session

par Hengyu

6 avr. 2018

very helpful

par Rafael M

18 oct. 2017

Great Course

par Mihir S

27 sept. 2017

Good Course.

par Angel V

21 août 2017

very usefull

par Oleksii I

2 juin 2017

Good course.

par Roman I

5 avr. 2020

good cource

par Kirill K

10 oct. 2017

A good one.

par William H

6 sept. 2017


par Ajedrez y T

13 juin 2020


par Sanjeev R

26 août 2019


par Ngoc-Bien N

4 avr. 2019

bon cours