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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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101 - Big Data Analysis with Scala and Spark 的 125 個評論(共 477 個)

創建者 Samuel L

2017年3月23日

Very well taught and insightful! Especially the combination of slides, and additionally drawn notes on that slides, I found very good.

創建者 Zhenduo D

2017年11月19日

Interesting and useful course. Could be better if the videos were not as blurred, which made it sometimes hard to read the slides.

創建者 Venkat

2017年6月1日

Awesome video lectures by the instructor. The content is very good and i fee i gained good knowledge. I really loved the series.

創建者 Lewis

2017年3月29日

It was short and sweet. However, I wish the assignments had more unit tests to fill gaps where the instructions weren't clear.

創建者 Imre K

2017年3月22日

Challenging but very enlightening. Requires you to read the docs and figure out a lot of stuff on your own. My kind of course!

創建者 Jonathan R

2020年8月22日

Instructor does a great job of explaining the material and keeping students' interest. Good explanations and use of examples.

創建者 Prachi C

2017年9月14日

An excellent explanation of basic concepts of Spark using Scala. We covered the most important topics and ready to deep dive!

創建者 Vladislav B

2017年4月8日

Very good and interesting videos. Really clear explanations. Practice part worse, but Forum helps with all misunderstandings.

創建者 Max Z

2018年3月3日

Excellent. I learned a lot from this course, even though I did not know much about scala. Strongly recommended this course

創建者 VincentWMChan

2017年4月25日

Pretty nice course. But with one comment on the grading system, sometime the comment & message is not that intuitive enough.

創建者 Thierry M

2018年2月1日

Very complet and accurate about Spark with Scala. Maybe an assignement with MongoDB or the like would be a plus

Thank you

創建者 Aleksander S

2017年5月5日

Amazing lectures, and challenging tasks to do on the way. I really enjoyed going through the course, and I learned a lot.

創建者 Ubaldo P

2017年4月10日

It is a course well organized, full of useful notions e with good assignments to assess your progress in learning stuff.

創建者 manuel B L

2018年7月21日

Muy bueno, Excelente. Todos los conocimientos obtenidos me serán de mucha ayuda en mi camino hacia el mundo de Big Data

創建者 joao d s

2017年4月9日

Really helpful, it's a really good way to get to know how spark works as well as a good round up on basic data mining.

創建者 srinivasa k

2018年1月1日

I really liked the course, it gave me head start on spark definitely there is much more to learn, nice intro course.

創建者 OUMOUSS E M

2017年6月18日

Very good course, it is a must for anyone who is starting in spark using scala, thanks a lot, it did really help me

創建者 German A S G

2018年4月22日

Good course, it goes beyond functional algorithms and teaches also about how to improve performance of the cluster

創建者 Gregory E

2018年3月10日

Good course, shows a lot of useful and unobvious things about Spark. But not always has well described assignments

創建者 Vlad F

2018年3月14日

I learned a great deal about the Spark API. I recommend it to anybody eager to self educate after working hours.

創建者 Aleksander K

2017年4月2日

This class is great! Highly recomended! It helped me to understand and perform better at my daily working tasks!

創建者 Jevelson S

2017年5月17日

This course is awesome. I got a pretty good idea of spark. In fact this course helped me understand scala well.

創建者 Wei-Ting C

2017年9月13日

This is my first completed course on Coursera! It's good for understanding Apache Spark's RDD and its usage.

創建者 Roman Z

2017年4月14日

I like the course tempo very much. It kept me away from doing anything else while listening to the lectures.

創建者 Tomasz J

2017年4月8日

Great, short course, which gives great insight into Spark and ad-hoc data processing on Hadoop-ish clusters.