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Retour à Big Data Analysis with Scala and Spark

Avis et commentaires pour d'étudiants pour Big Data Analysis with Scala and Spark par École polytechnique fédérale de Lausanne

2,545 évaluations
521 avis

À propos du cours

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:

Meilleurs avis


7 juin 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!


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.

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176 - 200 sur 506 Avis pour Big Data Analysis with Scala and Spark

par Nicolas D

13 avr. 2017

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

par Joseph C A A

7 avr. 2017

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

par Симкин И М

10 mars 2019

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

par Javier R C

30 juin 2017

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

par Andrzej J

20 mars 2017

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

par Aitor G N

27 sept. 2021

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

par Fábio A R

13 mai 2019

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

par Alberto C B

30 juin 2018

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

par Arthur-Lance

15 sept. 2018

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

par Giuliano C

2 juil. 2017

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

par Teng Z

26 déc. 2019

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

par Matthias T

17 août 2017

Great introduction to Spark accessed through Scala. Didactically awesome.

par Andreas K

26 juil. 2017

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

par Ramesh K

23 avr. 2017

Instructor has been explaining the concepts with more practical direction

par Fabio P

2 juin 2020

Best course so far in the Functional Programming in Scala Specialization

par Karim M

15 oct. 2018

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

par Deleted A

11 juil. 2017

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

par Ronald C M

13 mai 2019

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

par Francisco D

6 mai 2018

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

par Mostafa J

12 juin 2017

Very challenging but I learned a lot.

Thanks a lot, Dr. Heather Miller!

par AOC

17 mai 2019

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

par Rafael M C

19 juin 2017

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

par Beibit

27 juin 2019

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

par rohith a k

30 avr. 2018

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

par Andrew P M

8 avr. 2020

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