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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

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2,599 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

CH

Nov 16, 2017

although spark part is taught nicely, it also takes a lot of time to understand the sql part and remember a lot of sql operations as a zero background man in sql

MP

Apr 8, 2017

Excellent material. Very good flow. Heather has an amazing way of walking through the flow and simplifying the concepts. Great assignments -- takes a bit longer than 3 hours.

筛选依据：

326 - Big Data Analysis with Scala and Spark 的 350 个评论（共 512 个）

创建者 Fang Z

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Apr 5, 2017

Very good course.

创建者 Prashant P

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May 12, 2017

Awesome course !

创建者 Oleg V

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Feb 5, 2023

Awesome course!

创建者 Jędrzej B

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May 22, 2020

Nice and clear.

创建者 Camila G W

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Nov 16, 2018

Amazing course!

创建者 Andrii P

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Apr 9, 2017

Just awesome :)

创建者 NGUYEN K B A

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Nov 15, 2020

useful courses

创建者 hnc h

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Mar 26, 2017

Awesome course

创建者 Moncef Z M

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Sep 6, 2020

Super cours !

创建者 Rajesh K S

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Oct 9, 2018

Excellent Cou

创建者 Jose C A

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May 5, 2018

Muy Bueno!!!!

创建者 JULIAN A G V

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Feb 1, 2018

Great course!

创建者 José E T M

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Jun 1, 2017

Great Course!

创建者 Emiliyan T

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Apr 9, 2017

Magnificent !

创建者 Light0617

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Apr 14, 2019

wonderful!!!

创建者 Saiteja t

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Jul 31, 2018

Nice session

创建者 Hengyu

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Apr 6, 2018

very helpful

创建者 Rafael M

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Oct 18, 2017

Great Course

创建者 M S

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Sep 26, 2017

Good Course.

创建者 Angel V

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Aug 21, 2017

very usefull

创建者 Oleksii I

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Jun 1, 2017

Good course.

创建者 Roman I

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Apr 5, 2020

good cource

创建者 Kirill K

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Oct 10, 2017

A good one.

创建者 William H

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Sep 6, 2017

Outstanding

创建者 Ajedrez y T

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Jun 13, 2020

Excelente