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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
2,454 個評分
507 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....

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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!

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276 - Big Data Analysis with Scala and Spark 的 300 個評論(共 490 個)

創建者 Fernando R

2017年10月28日

it was a super interesting course

創建者 Alejandro R C

2017年8月13日

Everything was easy to understand

創建者 Jinfu X

2017年3月12日

Thanks! It's an excellent course.

創建者 Fedor C

2017年8月31日

Very interesting course! Thanks!

創建者 Vasyl Y

2017年6月26日

Cool course! Thanks for your job

創建者 Kyle L

2017年6月10日

very good course, really enjoyed

創建者 Alex S

2018年5月5日

Super course, well done Heather

創建者 Jong H S

2017年8月18日

A wonderful and timely course.

創建者 Jon Z

2017年7月5日

Great course, I learned a lot.

創建者 Salvatore R

2017年4月23日

This course is very well done.

創建者 Jay

2017年9月21日

cool teacher and cool course!

創建者 Atsuya K

2017年10月29日

A good quick intro to Spark.

創建者 Jakub T m G

2017年6月27日

good introduction into Spark

創建者 Benzakoun S

2017年5月8日

excellent quality of content

創建者 bechir n

2020年11月21日

It really helped me at Work

創建者 savitri v v

2018年7月27日

Very good learning portal

創建者 Jorge B C

2017年5月1日

Very interesting course!!

創建者 Peter S

2017年4月2日

Another fun Scala course!

創建者 Z

2017年3月27日

Very fun and informative!

創建者 Canh S L

2017年3月25日

really good, informative

創建者 vijay k k

2018年5月7日

Good course to learn it

創建者 Hermann H

2017年7月19日

Great material !!! ;-)

創建者 vikas s

2017年7月28日

awesome course content

創建者 Deleted A

2017年6月26日

Great course. Thanks!

創建者 Marija N

2019年7月5日

Absolutely fantastic!