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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
2,383 個評分
494 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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126 - Big Data Analysis with Scala and Spark 的 150 個評論(共 477 個)

創建者 Sreeraj R P

2019年1月6日

Very good course for a great start in Spark. Require some initial knowledge and coding experience in Scala.

創建者 Rocky J

2017年5月8日

Great subject, well explained with solid weekly assignments make this course a stellar learning experience.

創建者 Andrey M

2019年1月10日

Thank you for the great introduction in to the Spark, What it is and What are the most commonly used APIs.

創建者 Daniele M

2019年6月22日

Great Introduction to spark. Programming assignments helped me to improve my skills. Thank you very much.

創建者 Rajesh B

2019年7月16日

Very nice explanation, trainer has good knowledge, course materials are good, video quality is too good.

創建者 Kolja M

2018年3月25日

Very nice in depth learnings. The teacher is very good and keeps the lessons short but still meaningful.

創建者 Zdeněk H

2017年7月22日

Thanks to this course I think that I have finally understood partitioning and everything about Datasets.

創建者 bezzineradhia@gmail.com

2020年9月15日

Excellent cours! par contre je n'arrive pas à obtenir mon certificat. Est cela toujours possible? Merci

創建者 Marco B

2018年3月16日

Excellent course!

Well-developed lectures and good-structured modules

With hands-on programming examples

創建者 Jijo T

2017年4月13日

It was well worth the wait! The instructor was good. Assignments were challenging as well as hands on!

創建者 Shashank B

2017年10月15日

It is an excellent course with good clear explanation of theoretical concepts and practical examples.

創建者 Francois S

2020年9月6日

Very good in depth explanation of spark. Recommended for those who want to further understand spark.

創建者 本达 续

2017年8月4日

A very natural application of functional programming to real world distributed computation problems.

創建者 Nishant T

2017年3月28日

Brilliant intro to Spark. I really like the enthusiasm with which Heather explains the key concepts.

創建者 Alexander Z Q

2017年8月27日

Course with excellent content, methodology and teacher. It was an extraordinary learning experience

創建者 Roberto S

2017年7月4日

Quite advanced; links seamlessly with the previous courses in the specialization. Very rewarding.

創建者 Ashish D

2020年11月10日

An optimum level of detail in content, coupled with reasonably involved programming assignments

創建者 Bogdan T

2020年2月25日

The amount of information delivered and the way it was explained is simply amazing. Thank you!

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