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Volver a Big Data Analysis with Scala and Spark

Opiniones y comentarios de aprendices correspondientes a Big Data Analysis with Scala and Spark por parte de École Polytechnique Fédérale de Lausanne

2,545 calificaciones
521 reseña

Acerca del Curso

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:

Principales reseñas


28 de nov. de 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.


7 de jun. de 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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251 - 275 de 506 revisiones para Big Data Analysis with Scala and Spark

por Devaki B

15 de abr. de 2017

It was good. Got indepth knowledge of Spark API

por Harshad H

30 de oct. de 2019

Best Course for Big Data Learning in the World

por David F S

14 de ene. de 2019

Very informative. Well-organized presentation.

por Husain K

7 de may. de 2017

Great course, learnt a lot from it. Thank you.

por samy k

21 de mar. de 2017

Interesting and challenging course! Thank You!

por Robert M

11 de feb. de 2019

Excellent videos, explanation, and resources!

por shubham m

10 de jul. de 2018

good but give more practical of small program

por abdhesh

31 de dic. de 2017

It was an awesome and well explained course.

por Jeroen M

9 de abr. de 2017

Great course, well explained, instant value!

por Hong C

14 de abr. de 2020

A perfect resource to get start with Spark.

por Denis L

5 de dic. de 2018

Very nice, but a little bit outdated course

por Wang Z

30 de oct. de 2019

The lecture is well-organized

and excellent

por Muhammad B

10 de jun. de 2020

Very brilliant instructor, learned a lot.

por Arnaud J

2 de jun. de 2017

Great course. Would definitely recommend.

por Daniel D

20 de abr. de 2017

Great course - well prepared by the team.

por Olivier L

29 de nov. de 2019

Very well explained, a very well teacher

por Marc K

8 de sep. de 2018

Great course explained with great detail

por Joaquin D R

25 de sep. de 2019

Incredible tutorial!!!!!!!!!! I love it

por jiajie

8 de jul. de 2017

Learn a lot things about spark. Thanks!

por César A

29 de mar. de 2017

Excellent course. Fun and entertaining.

por Hari K N

22 de jul. de 2020

It's an overall great learning session

por Varlamova E

10 de mar. de 2019

It was amazing!!! Very useful course!

por Msellek A

26 de ene. de 2019

Great course ! Thanks for the effort

por Jose M N

28 de may. de 2018

Great course. Thanks for everything.

por Srinivasa R M

13 de sep. de 2017

Very nice explanation with examples.