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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
2,108 個評分
422 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

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.

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!

篩選依據:

201 - Big Data Analysis with Scala and Spark 的 225 個評論(共 406 個)

創建者 Parker G

Apr 10, 2017

Great course! The powerpoint/slides/pdfs are a GREAT resource

創建者 CAI X

Jul 16, 2017

Well explained and demoed . Good introduction to spark, the most useful big data framework!

創建者 jose r

Nov 24, 2017

Great Course, thanks

創建者 Prashant P

May 12, 2017

Awesome course !

創建者 Imran K

Apr 08, 2017

As always, Coursera delivered another top quality courses on Spark with Scala. I have learned a lot of details, understood the underlying working principles of Spark in the last few days. Thanks to Dr. Miller for such a great course. I hope in the future versions of this course the overall presentations will be more smooth and typo-free.

創建者 Shae S

Mar 23, 2017

I learned so much from this course! It was amazing how Dr. Miller used concepts that were meticulously built up in the earlier courses, such as evaluation strategy, functional collections, reactive programming, and associativity, to describe the core of Spark in only four units. As someone coming from more of a statistics background, I started this specialization only to learn Spark, so I wasn't always sure how relevant learning the more theoretical underpinnings of Scala would be. It turns out that it was pretty essential, while also just making me a better programmer. Looking forward to the capstone!

創建者 Jorge B C

May 02, 2017

Very interesting course!!

創建者 Jean-Francois T

Mar 27, 2017

Good material and induction to Spark, good complement of parallel computing in Scala

創建者 Mostafa J

Jun 13, 2017

Very challenging but I learned a lot.

Thanks a lot, Dr. Heather Miller!

創建者 Konstantin

May 29, 2017

Nice course, thanks!

創建者 Antonio A

Oct 20, 2017

Clear explanations, with emphasis done on the important/practical stuff. From zero to a general understanding on Spark and the available tools in 4 weeks.

創建者 Walter D

Jan 01, 2018

Great course to get going with Apache Spark. Would recommend to someone who has java or scala experience already and wants to learn about distributed processing.

創建者 Cliff R

Jul 22, 2018

Gives a good grounding in the fundamentals of Spark

創建者 manuel B L

Jul 22, 2018

Muy bueno, Excelente. Todos los conocimientos obtenidos me serán de mucha ayuda en mi camino hacia el mundo de Big Data

創建者 savitri v v

Jul 27, 2018

Very good learning portal

創建者 shubham m

Jul 10, 2018

good but give more practical of small program

創建者 Saiteja t

Aug 01, 2018

Nice session

創建者 Marc K

Sep 09, 2018

Great course explained with great detail

創建者 Karim M

Oct 15, 2018

Amazing course, i learned a lot even if i'm working with scala and spark

創建者 Natalija I

Sep 26, 2018

Great course, I really enjoyed learning! Thank you Dr. Miller

創建者 Massimiliano D

Nov 14, 2018

Great course over Spark. It shows the syntax, but more than this, it shows the problems, the caveats, the optimization and the architecture from a wide point of view.

The assignment were designed to focus right to the point: they managed all the configuration and initialization code of the project, leaving the student to fill only the most important part, with the resulto of having, at the end of the course, working projects that could be used as "cheat sheet" to remember all the material of the course.

Massimiliano.

創建者 Camila G W

Nov 16, 2018

Amazing course!

創建者 Rajesh K S

Oct 09, 2018

Excellent Cou

創建者 Arthur-Lance

Sep 15, 2018

really great course, it help me fast get into the new area. thanks a lot!!!

創建者 Sivakumar P

Nov 29, 2018

Course is very useful to understand Spark and Scala things.