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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

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2,383 個評分
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494 條評論

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
2019年11月28日

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
2017年6月7日

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：

251 - Big Data Analysis with Scala and Spark 的 275 個評論（共 477 個）

創建者 Olivier L

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2019年11月29日

Very well explained, a very well teacher

創建者 Marc K

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2018年9月8日

Great course explained with great detail

創建者 Joaquin D R

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2019年9月25日

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

創建者 jiajie

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2017年7月8日

Learn a lot things about spark. Thanks!

創建者 César A

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2017年3月29日

Excellent course. Fun and entertaining.

創建者 Hari K N

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2020年7月22日

It's an overall great learning session

創建者 Varlamova E

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2019年3月10日

It was amazing!!! Very useful course!

創建者 Msellek A

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2019年1月26日

Great course ! Thanks for the effort

創建者 Jose M N F

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2018年5月28日

Great course. Thanks for everything.

創建者 Srinivasa R M

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2017年9月13日

Very nice explanation with examples.

創建者 Martin A

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2017年5月3日

Great course, good intro into Spark.

創建者 Manuel M C

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2017年3月23日

Great course, keep up the good work.

創建者 Neeraj V D

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2018年2月27日

limited content with dewp knowledge

創建者 Abhay D

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2018年11月4日

Wonderful course. Helped me a lot.

創建者 David M

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2017年9月18日

Concepts are very well explained..

創建者 Liu D

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2017年7月26日

Great speeches with great exercise

創建者 Fernando R

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2017年10月28日

it was a super interesting course

創建者 Alejandro R C

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2017年8月13日

Everything was easy to understand

創建者 Jinfu X

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2017年3月12日

Thanks! It's an excellent course.

創建者 Fedor C

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2017年8月31日

Very interesting course! Thanks!

創建者 Vasyl Y

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2017年6月26日

Cool course! Thanks for your job

創建者 Kyle L

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2017年6月10日

very good course, really enjoyed

創建者 Alex S

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2018年5月5日

Super course, well done Heather

創建者 Jong H S

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2017年8月18日

A wonderful and timely course.

創建者 Jon Z

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2017年7月5日

Great course, I learned a lot.

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