Chevron Left
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
星
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： 276 - 300 / 505 レビュー

by Martin A

•

2017年5月3日

Great course, good intro into Spark.

by Manuel M C

•

2017年3月23日

Great course, keep up the good work.

by Neeraj V D

•

2018年2月27日

limited content with dewp knowledge

by Abhay D

•

2018年11月4日

Wonderful course. Helped me a lot.

by David M

•

2017年9月18日

Concepts are very well explained..

by Liu D

•

2017年7月26日

Great speeches with great exercise

by Fernando R

•

2017年10月28日

it was a super interesting course

by Alejandro R C

•

2017年8月13日

Everything was easy to understand

by Jinfu X

•

2017年3月12日

Thanks! It's an excellent course.

by Fedor C

•

2017年8月31日

Very interesting course! Thanks!

by Vasyl Y

•

2017年6月26日

Cool course! Thanks for your job

by Kyle L

•

2017年6月10日

very good course, really enjoyed

by Alex S

•

2018年5月5日

Super course, well done Heather

by Jong H S

•

2017年8月18日

A wonderful and timely course.

by Jon Z

•

2017年7月5日

Great course, I learned a lot.

by Salvo

•

2017年4月23日

This course is very well done.

by Jay

•

2017年9月21日

cool teacher and cool course!

by Atsuya K

•

2017年10月29日

A good quick intro to Spark.

by Jakub T m G

•

2017年6月27日

good introduction into Spark

by Benzakoun S

•

2017年5月8日

excellent quality of content

by Akash D

•

2021年7月26日

Wonderfully designed course

by bechir n

•

2020年11月21日

It really helped me at Work

by savitri v v

•

2018年7月27日

Very good learning portal

by Jorge B C

•

2017年5月1日

Very interesting course!!

by Peter S

•

2017年4月2日

Another fun Scala course!

Coursera Footer

キャリアをスタート、またはキャリアアップする

人気のあるトピックを閲覧

人気のコースと記事

オンラインで学位または証明書を取得する

Coursera

コミュニティ

さらに表示

場所を選ばす学習する
App StoreからダウンロードGoogle Playで取得
Placeholder