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Bewertung und Feedback des Lernenden für Big Data Analysis with Scala and Spark von École Polytechnique Fédérale de Lausanne

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2,548 Bewertungen

Über den Kurs

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....

Top-Bewertungen

BP

28. Nov. 2019

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

7. Juni 2017

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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176 - 200 von 506 Bewertungen für Big Data Analysis with Scala and Spark

von Nicolas D

13. Apr. 2017

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

von Joseph C A A

7. Apr. 2017

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

von Симкин И М

10. März 2019

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

von Javier R C

30. Juni 2017

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

von Andrzej J

20. März 2017

Great course, presentations prepared with passion, exercise of right level....

von Aitor G N

27. Sep. 2021

Buen curso, recomiendo saber o tener bases de scala, sino te pierdes un poco

von Fábio A R

13. Mai 2019

Excellent course, very handful for whoever is starting his studies in spark.

von Alberto C B

30. Juni 2018

Great introductory course on Spark with Scala. Touched many important things

von Arthur-Lance

15. Sep. 2018

really great course, it help me fast get into the new area. thanks a lot!!!

von Giuliano C

2. Juli 2017

Excellent course, my only suggestion would be to split week 4 into 2 weeks

von Teng Z

26. Dez. 2019

Good course with well-designed assignments, I got a lot from this course!

von Matthias T

17. Aug. 2017

Great introduction to Spark accessed through Scala. Didactically awesome.

von Andreas K

26. Juli 2017

It was a pleasure to follow the video lectures and solve the assignments.

von Ramesh K

23. Apr. 2017

Instructor has been explaining the concepts with more practical direction

von Fabio P

2. Juni 2020

Best course so far in the Functional Programming in Scala Specialization

von Karim M

15. Okt. 2018

Amazing course, i learned a lot even if i'm working with scala and spark

von Deleted A

11. Juli 2017

Easy to follow. Really well explained and planned. Strongly recommended.

von Ronald C M

13. Mai 2019

The best way to get to know Spark Fundamentals and Spark Core libraries

von Francisco D

6. Mai 2018

Accurate content and good explanations. I have got fun with this course

von Mostafa J

12. Juni 2017

Very challenging but I learned a lot.

Thanks a lot, Dr. Heather Miller!

von AOC

17. Mai 2019

Very engaging and tutor showed excellent delivery. thanks to Coursera.

von Rafael M C

19. Juni 2017

Content was useful, overall a good course. Lectures were kind of dull.

von Beibit

27. Juni 2019

Very nice course. Good level of explanations, good examples and pace.

von rohith a k

30. Apr. 2018

It is indeed a very good course, but 2nd assignment was tough though.

von Andrew P M

8. Apr. 2020

Excellent course with great content. Really helped me in my day job!