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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
2,454 個評分
507 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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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.

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!

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401 - Big Data Analysis with Scala and Spark 的 425 個評論(共 490 個)

創建者 Alberto A

2017年6月29日

Good stuff, well presented, but the instructor takes no risks to explain more complex details.

創建者 aknin k

2019年12月25日

Bien mais j'aurais aimé avoir plus d'exercices pour s'entrainer sur les dataframes / datasets

創建者 Chuishi

2018年1月8日

Very good course! Contents are very useful. The lectures are intuitive, thorough and clear.

創建者 Sjoerd T

2017年4月8日

Took a bit long before the course actually started, but when it did, it was a great course!

創建者 Sridhar K

2018年9月7日

Really i get a wonderful experience and it gives the platform to increase my knowledge.

創建者 Federico A G C

2018年6月30日

The instructor is great as well as the material. The exercises are a little off topic

創建者 Khalid S

2018年3月25日

The course didn't flow as smoothly as I would have liked but I still recommend it.

創建者 Piotr G

2017年7月5日

Great content, however some materials are not clear and videos had a few problems.

創建者 Aaron

2019年12月10日

A good course to know about how spark works but not how to use it, I like this!

創建者 Иван М

2017年4月8日

Nice course, could use little fixes. Sometimes practice goes ahead of theory

創建者 Kristoffer V

2019年7月3日

Sometimes the labs included techniques not fully covered by the lectures.

創建者 Faisal A

2020年6月29日

Assignments could be made a little better. The lecture content is great.

創建者 Anuj M

2020年6月21日

Great course, trainer is simply amazing with the delivery and teachings

創建者 Deepak D

2018年11月23日

Not specify & given instruction regarding how to submit the solution

創建者 Pedro M

2017年4月29日

Very interesting course about Spark, it covers a lot of key concepts!

創建者 Vahid S

2020年6月27日

I think programming assignments could be better but still OK.

創建者 Francis T

2017年4月16日

I really liked the content regarding Dataframes and Datasets.

創建者 Emmanouil G

2017年4月1日

Assignment Instructions need improvement in terms of clarity.

創建者 Gongqi L

2017年4月9日

Very good course, but it needs more details and examples.

創建者 kaushik

2017年4月9日

Good course ! But does need more programming assignments

創建者 Mohammad T

2019年8月24日

such a beautiful course design for a bigData devlopers

創建者 Kota M

2018年4月5日

It is a good course, but the lecturer speaks too fast.

創建者 Anuj A

2020年10月22日

Needs more detailing for datasets and dataframe apis

創建者 Wolfgang G

2017年8月30日

Very well-lead introductory, a bit lengthy at times.