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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
2,261 évaluations
458 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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226 - 250 sur 442 Avis pour Big Data Analysis with Scala and Spark

par shubham m

Jul 10, 2018

good but give more practical of small program

par abdhesh

Dec 31, 2017

It was an awesome and well explained course.

par Jeroen M

Apr 10, 2017

Great course, well explained, instant value!

par Hong C

Apr 14, 2020

A perfect resource to get start with Spark.

par Denys L

Dec 05, 2018

Very nice, but a little bit outdated course

par Zhenhua w

Oct 30, 2019

The lecture is well-organized

and excellent

par Arnaud J

Jun 02, 2017

Great course. Would definitely recommend.

par Daniel D

Apr 20, 2017

Great course - well prepared by the team.

par LEBRAT O

Nov 29, 2019

Very well explained, a very well teacher

par Marc K

Sep 09, 2018

Great course explained with great detail

par Joaquin D R

Sep 25, 2019

Incredible tutorial!!!!!!!!!! I love it

par jiajie

Jul 09, 2017

Learn a lot things about spark. Thanks!

par César A

Mar 29, 2017

Excellent course. Fun and entertaining.

par Varlamova E

Mar 10, 2019

It was amazing!!! Very useful course!

par Msellek A

Jan 26, 2019

Great course ! Thanks for the effort

par Jose M N F

May 28, 2018

Great course. Thanks for everything.

par Srinivasa R M

Sep 14, 2017

Very nice explanation with examples.

par Martin A

May 03, 2017

Great course, good intro into Spark.

par Manuel M C

Mar 23, 2017

Great course, keep up the good work.

par Neeraj V D

Feb 27, 2018

limited content with dewp knowledge

par Abhay D

Nov 04, 2018

Wonderful course. Helped me a lot.

par David M

Sep 18, 2017

Concepts are very well explained..

par Liu D

Jul 26, 2017

Great speeches with great exercise

par Fernando R

Oct 28, 2017

it was a super interesting course

par Alejandro R C

Aug 14, 2017

Everything was easy to understand