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
2,544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： 501 - 505 / 505 レビュー

by Deleted A

•

2020年7月9日

good lectures another case of lectures not matching the assignment in terms of what you should pick up. inadequate resources and not enough depth on actual transformations and methods.

by Vineet S

•

2022年3月8日

Material not updated and assignments quite confusing. Also lectures are too verbose and not to the point.

by Sergio R P

•

2019年9月30日

The assignments are very confusing and unexplained. They do not take long to reply to the forum.

by Krzysztof S

•

2020年3月3日

Assignments don't work properly

by crow f

•

2018年5月19日

The course is too basic.

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