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Big Data Analysis with Scala and Spark(으)로 돌아가기

로잔연방공과대학교의 Big Data Analysis with Scala and Spark 학습자 리뷰 및 피드백

2,363개의 평가
487개의 리뷰

강좌 소개

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:

최상위 리뷰


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.

필터링 기준:

Big Data Analysis with Scala and Spark의 471개 리뷰 중 226~250

교육 기관: 李东恒

Jan 25, 2020

Very good course for learning and practicing Spark.

교육 기관: Yuri R

Oct 24, 2019

Liked the course. Wasn't familiar with spark before

교육 기관: Cliff R

Jul 22, 2018

Gives a good grounding in the fundamentals of Spark

교육 기관: Kovalenko S

Jul 17, 2017

Курс очень понравился, спасибо большое за ваш труд!

교육 기관: Adrien C

Jun 29, 2017

Interesting course, the last week feels most useful

교육 기관: Juan L R A

Jun 19, 2017

Very good course and good materials for learning

교육 기관: Florian B

Nov 18, 2017

Super cours, merci beaucoup! EPFL always rocks.

교육 기관: Devaki B

Apr 15, 2017

It was good. Got indepth knowledge of Spark API

교육 기관: Harshad H

Oct 30, 2019

Best Course for Big Data Learning in the World

교육 기관: David F S

Jan 15, 2019

Very informative. Well-organized presentation.

교육 기관: Husain K

May 07, 2017

Great course, learnt a lot from it. Thank you.

교육 기관: samy k

Mar 21, 2017

Interesting and challenging course! Thank You!

교육 기관: Robert C M P

Feb 12, 2019

Excellent videos, explanation, and resources!

교육 기관: shubham m

Jul 10, 2018

good but give more practical of small program

교육 기관: abdhesh

Dec 31, 2017

It was an awesome and well explained course.

교육 기관: Jeroen M

Apr 10, 2017

Great course, well explained, instant value!

교육 기관: Hong C

Apr 14, 2020

A perfect resource to get start with Spark.

교육 기관: Denys L

Dec 05, 2018

Very nice, but a little bit outdated course

교육 기관: Zhenhua w

Oct 30, 2019

The lecture is well-organized

and excellent

교육 기관: Muhammad B

Jun 10, 2020

Very brilliant instructor, learned a lot.

교육 기관: Arnaud J

Jun 02, 2017

Great course. Would definitely recommend.

교육 기관: Daniel D

Apr 20, 2017

Great course - well prepared by the team.

교육 기관: Olivier L

Nov 29, 2019

Very well explained, a very well teacher

교육 기관: Marc K

Sep 09, 2018

Great course explained with great detail

교육 기관: Joaquin D R

Sep 25, 2019

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