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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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276 - 300 sur 460 Avis pour Big Data Analysis with Scala and Spark

par vijay k k

May 07, 2018

Good course to learn it

par Hermann H

Jul 19, 2017

Great material !!! ;-)

par vikas s

Jul 28, 2017

awesome course content

par kevin n

Jun 26, 2017

Great course. Thanks!

par Marija N

Jul 05, 2019

Absolutely fantastic!

par Subodh C

Mar 30, 2019

Thanks Prof. Miller !

par Nebiyou T

Dec 26, 2017

Very good instructor!

par Dinesh A G

Apr 02, 2017

good course on spark.

par jose r

Nov 24, 2017

Great Course, thanks

par Konstantin

May 29, 2017

Nice course, thanks!

par abhinav

Dec 10, 2017

Wonderful course!!!

par Luis M M S

Jun 21, 2017

I loved this course

par Prashant B

Apr 07, 2017

very nicely taught

par Manish M D

Sep 16, 2019

Excellent course.

par DAVID J A

Mar 01, 2018

Simply brilliant.

par Rajesh G

Dec 02, 2017

Excellent course!

par Georgi Y

Jul 07, 2017

Excellent course!

par Taneli L

Apr 10, 2017

Excellent course.

par Tal G

Apr 08, 2017

Excellent teacher

par Fang Z

Apr 06, 2017

Very good course.

par Prashant P

May 12, 2017

Awesome course !

par Jędrzej B

May 22, 2020

Nice and clear.

par Camila G W

Nov 16, 2018

Amazing course!

par Andrii P

Apr 09, 2017

Just awesome :)

par Henoc M

Mar 26, 2017

Awesome course