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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
2,466 個評分
509 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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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.

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151 - Big Data Analysis with Scala and Spark 的 175 個評論(共 492 個)

創建者 Shiyan C

2018年3月6日

Wish we could have an in-depth spark class that cover spark streaming and structure streaming.

創建者 Animesh K

2017年3月17日

Really Awesome course. The instructor is great. Looking forward to more courses from Heather.

創建者 Jiri K

2017年4月7日

Awesome! Perhaps couple of tests would be handy, just a few to have something to start with.

創建者 Thomas Z

2018年2月10日

Good course. Can recommend it for everyone who wants to get into the field of data-science.

創建者 CAI X

2017年7月16日

Well explained and demoed . Good introduction to spark, the most useful big data framework!

創建者 Vishnu P

2018年5月15日

The best course. Good lectures with best examples. Thanks a lot for this wonderful course.

創建者 Vlad N

2017年4月3日

Nice topics regarding using partitions for Spark and encoders!! Really interesting course

創建者 Korntewin B

2021年1月27日

Great course for distributed programming. Spark and its RDD concept make our life easier.

創建者 Guixin Z

2017年4月5日

very nice material and organized very well. still amazed what spark can do with the data.

創建者 YEHOUENOU

2019年10月20日

This course allows me to learn so many things about data analysys and Big data modeling.

創建者 Anand B

2019年12月26日

Very Good Course For College students who completed and wants to start professionally.

創建者 Shashishekhar D

2018年1月6日

Simple, Easy to understand. The course has helped me a lot to understand the concepts.

創建者 Santiago C

2021年3月30日

Some of the tests could be a bit more explicit when failing. Otherwise, great course.

創建者 Merel C H T

2017年6月7日

I really liked the assignments in this course and all the content was well explained.

創建者 Laurent S

2017年4月2日

Fantastic initiation to Spark. Thanks Heather and the whole team at EPFL & Coursera.

創建者 Jean-Francois T

2017年3月27日

Good material and induction to Spark, good complement of parallel computing in Scala

創建者 Patrick

2018年1月12日

Been working with Spark since 0.9 and this was still worthwhile. Excellent course.

創建者 Amit K

2017年4月10日

Production quality exercises. Prepares one for working on Spark almost immediately.

創建者 Huang P

2020年5月22日

This course is really helpful!!! Good introduction course for Spark sql beginner.

創建者 BOUDRAHEM

2019年4月16日

Everything was excellent. This was one of the best courses I have attended so far

創建者 Аркадий К

2017年8月6日

Very good for Scala beginners and students who are entering the world of Big Data

創建者 Nicolas D

2017年4月13日

Amazingly polished and well taught course although being given for the first time

創建者 Joseph C A A

2017年4月7日

Excelente curso, muy bien material y explicado de manera muy dinámica y practica.

創建者 Симкин И М

2019年3月10日

Perfectly. Very competent teacher and good tasks. Requires knowledge of scala.

創建者 Javier R C

2017年6月30日

Great introduction to Spark. Very interesting lectures, slides and assignments