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學生對 洛桑联邦理工学院 提供的 Big Data Analysis with Scala and Spark 的評價和反饋

4.7
2,077 個評分
418 個審閱

課程概述

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://www.coursera.org/learn/parprog1....

熱門審閱

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!

CR

Apr 10, 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.

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126 - Big Data Analysis with Scala and Spark 的 150 個評論(共 402 個)

創建者 Samuel L

Mar 23, 2017

Very well taught and insightful! Especially the combination of slides, and additionally drawn notes on that slides, I found very good.

創建者 Juan L R A

Jun 19, 2017

Very good course and good materials for learning

創建者 Oleg m

Apr 10, 2017

First weeks were overcomplicated with k-means and stuff not related to Spark itself.

In general - GREAT JOB !!! Thx for such kind courses

創建者 Tal G

Apr 08, 2017

Excellent teacher

創建者 Florian B

Nov 18, 2017

Super cours, merci beaucoup! EPFL always rocks.

創建者 Kushagra V

Jun 14, 2017

Very nicely taught. Liked these "long" lectures of 15-20 min where the instructor gradually builds the material around the topic. Most other courses online, especially Udacity has frustratingly short videos where more than half the time the student has to keep clicking to the next video. Material coverage is sufficiently wide as well and the curriculum is freshly designed which is very important in this field.

創建者 許致軒

Apr 16, 2017

Very Very Interesting and helpful!

The slides' layout is very clear and step by step for each important topic.

The motivation of why we need dataframe and dataset and what's their difference is explained with a logical and reasonable way!

創建者 Ismail A I

Apr 09, 2017

A very interesting and useful course.

Highly Recommended!

創建者 Joseph C A A

Apr 07, 2017

Excelente curso, muy bien material y explicado de manera muy dinámica y practica.

創建者 Husain K

May 07, 2017

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

創建者 Enrique M B

May 23, 2017

I had previous experience with Scala and Spark and I really enjoyed the course.

I learned some very interesting things, specially y de last 2 weeks about partitioning and Spark SQL.

創建者 Zhenduo D

Nov 19, 2017

Interesting and useful course. Could be better if the videos were not as blurred, which made it sometimes hard to read the slides.

創建者 Faiaz S

Jul 13, 2017

There is some little mistakes in course(like on slides)

創建者 Imre K

Mar 22, 2017

Challenging but very enlightening. Requires you to read the docs and figure out a lot of stuff on your own. My kind of course!

創建者 Prashant B

Apr 07, 2017

very nicely taught

創建者 Laurent S

Apr 02, 2017

Fantastic initiation to Spark. Thanks Heather and the whole team at EPFL & Coursera.

創建者 Animesh K

Mar 17, 2017

Really Awesome course. The instructor is great. Looking forward to more courses from Heather.

創建者 Luis M M S

Jun 21, 2017

I loved this course

創建者 William H

Sep 06, 2017

Outstanding

創建者 Andy S R

Aug 21, 2017

It's a great course for those who want to learn Apache Spark.

創建者 IURII B

Aug 07, 2017

Thanks !

創建者 Jeroen M

Apr 10, 2017

Great course, well explained, instant value!

創建者 Kyle L

Jun 11, 2017

very good course, really enjoyed

創建者 Angel A

May 07, 2017

love this topic!!!! New and frontier technology in NLP. More and more concentrations and analysis on this big data research.

I wish more courses about Parallel clustering using Spark available to the many.

創建者 Vlad N

Apr 03, 2017

Nice topics regarding using partitions for Spark and encoders!! Really interesting course