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学生对 École Polytechnique Fédérale de Lausanne 提供的 Big Data Analysis with Scala and Spark 的评价和反馈

4.6
2,594 个评分

课程概述

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://hua.dididi.sbs/learn/parprog1....

热门审阅

CC

Jun 7, 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!

CR

Apr 9, 2017

Great introduction to spark. Fun assignments. Since it was the first ever session, there were quite a few kinks with the assignments. But the discussion forums rescued me any time I was stuck.

筛选依据:

251 - Big Data Analysis with Scala and Spark 的 275 个评论(共 509 个)

创建者 Juan L R A

Jun 18, 2017

Very good course and good materials for learning

创建者 Florian B

Nov 18, 2017

Super cours, merci beaucoup! EPFL always rocks.

创建者 Devaki B

Apr 15, 2017

It was good. Got indepth knowledge of Spark API

创建者 Harshad H

Oct 30, 2019

Best Course for Big Data Learning in the World

创建者 David F S

Jan 14, 2019

Very informative. Well-organized presentation.

创建者 Husain K

May 7, 2017

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

创建者 samy k

Mar 21, 2017

Interesting and challenging course! Thank You!

创建者 Robert M

Feb 11, 2019

Excellent videos, explanation, and resources!

创建者 shubham m

Jul 10, 2018

good but give more practical of small program

创建者 abdhesh

Dec 31, 2017

It was an awesome and well explained course.

创建者 Jeroen M

Apr 9, 2017

Great course, well explained, instant value!

创建者 Hong C

Apr 13, 2020

A perfect resource to get start with Spark.

创建者 Denys L

Dec 5, 2018

Very nice, but a little bit outdated course

创建者 Wang Z

Oct 30, 2019

The lecture is well-organized

and excellent

创建者 Muhammad B

Jun 10, 2020

Very brilliant instructor, learned a lot.

创建者 Arnaud J

Jun 2, 2017

Great course. Would definitely recommend.

创建者 Daniel D

Apr 20, 2017

Great course - well prepared by the team.

创建者 Olivier L

Nov 29, 2019

Very well explained, a very well teacher

创建者 Marc K

Sep 8, 2018

Great course explained with great detail

创建者 Joaquin D R

Sep 25, 2019

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

创建者 Jie J

Jul 8, 2017

Learn a lot things about spark. Thanks!

创建者 César A

Mar 29, 2017

Excellent course. Fun and entertaining.

创建者 Hari K N

Jul 22, 2020

It's an overall great learning session

创建者 Varlamova E

Mar 10, 2019

It was amazing!!! Very useful course!

创建者 Msellek A

Jan 26, 2019

Great course ! Thanks for the effort