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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

4.7
étoiles
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: 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!

BP

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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301 - 325 sur 460 Avis pour Big Data Analysis with Scala and Spark

par Rajesh K S

Oct 09, 2018

Excellent Cou

par jose c a

May 05, 2018

Muy Bueno!!!!

par JULIAN A G V

Feb 02, 2018

Great course!

par Jose E T

Jun 02, 2017

Great Course!

par Emiliyan T

Apr 09, 2017

Magnificent !

par Light0617

Apr 14, 2019

wonderful!!!

par Saiteja t

Aug 01, 2018

Nice session

par Hengyu

Apr 06, 2018

very helpful

par Rafael M

Oct 18, 2017

Great Course

par Mihir S

Sep 27, 2017

Good Course.

par Angel V

Aug 21, 2017

very usefull

par Aleksey I

Jun 02, 2017

Good course.

par Roman I

Apr 05, 2020

good cource

par Kirill K

Oct 10, 2017

A good one.

par William H

Sep 06, 2017

Outstanding

par José A M L

Jun 14, 2020

Excelente

par Sanjeev R

Aug 26, 2019

Excellent

par Ngoc-Bien N

Apr 04, 2019

bon cours

par SAIDULU D

Jan 17, 2018

Excellent

par Mohamed K

Oct 30, 2017

Perfect !

par Pengcheng L

Jun 05, 2017

Thanks :)

par Huajian M

Apr 05, 2017

So great!

par 李帅鹏

May 02, 2019

Perfect!

par IURII B

Aug 07, 2017

Thanks !

par Estera K

Mar 20, 2017

AWESOME!