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Big Data Analysis with Scala and Spark に戻る

スイス連邦工科大学ローザンヌ校(École Polytechnique Fédérale de Lausanne) による Big Data Analysis with Scala and Spark の受講者のレビューおよびフィードバック

4.7
2,540件の評価
520件のレビュー

コースについて

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....

人気のレビュー

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!

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.

フィルター:

Big Data Analysis with Scala and Spark: 326 - 350 / 505 レビュー

by Andrii P

2017年4月9日

Just awesome :)

by NGUYEN K B A

2020年11月15日

useful courses

by Henoc M

2017年3月26日

Awesome course

by Moncef Z M

2020年9月6日

Super cours !

by Rajesh K S

2018年10月9日

Excellent Cou

by jose c a

2018年5月5日

Muy Bueno!!!!

by JULIAN A G V

2018年2月1日

Great course!

by Jose E T

2017年6月2日

Great Course!

by Emiliyan T

2017年4月9日

Magnificent !

by Light0617

2019年4月14日

wonderful!!!

by Saiteja t

2018年8月1日

Nice session

by Hengyu

2018年4月6日

very helpful

by Rafael M

2017年10月18日

Great Course

by Mihir S

2017年9月27日

Good Course.

by Angel V

2017年8月21日

very usefull

by Aleksey I

2017年6月2日

Good course.

by Roman I

2020年4月5日

good cource

by Kirill K

2017年10月10日

A good one.

by William H

2017年9月6日

Outstanding

by Ajedrez y T

2020年6月13日

Excelente

by Sanjeev R

2019年8月26日

Excellent

by Ngoc-Bien N

2019年4月4日

bon cours

by D S

2018年1月17日

Excellent

by Mohamed K

2017年10月30日

Perfect !

by Pengcheng L

2017年6月5日

Thanks :)