Chevron Left
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

2,548 calificaciones

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!

Filtrar por:

401 - 425 de 506 revisiones para Big Data Analysis with Scala and Spark

por Rudolf Z

29 de oct. de 2017

Good course. Lectures intoduce main concepts of spark very well. Also good explained how spark works under the hood.

por Jose R

8 de feb. de 2018

Creo que es un curso muy educativo y muy práctico con retos que permiten conocer las herramientas en profundidad

por Andrejs A

8 de ene. de 2020

Specially the last lectures where useful. but there is quite some gap between the lectures and practical task.

por Léo Z

7 de may. de 2017

Good course. Could be more comprehensive about analysis. Content is all video and Lecture notes would be nice.


25 de oct. de 2018

Very good and knowledgeable course. It basically explains about spark core, dataframe, dataset and spark sql.

por Łukasz G

25 de abr. de 2017

Good introduction to Spark. One thing that I didn't like was use of simple Ints and Strings instead of types.

por CarloNicolini

7 de abr. de 2020

Learned a lot of new things, but I would have focused on more but shorter and more variegate assignments.

por Ting T W

9 de may. de 2020

Nice course, get a fundamental knowledge of spark, scala. Homework is good with a decent level.

por Patrik I

13 de ene. de 2020

The videos had focus issues every now and again. It was still possible to see everything shown

por Jose P A A

29 de jun. de 2017

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

por aknin k

25 de dic. de 2019

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

por Chuishi

8 de ene. de 2018

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

por Sjoerd T

8 de abr. de 2017

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

por Sridhar K

7 de sep. de 2018

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

por Federico A G C

30 de jun. de 2018

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

por Khalid S

25 de mar. de 2018

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

por Piotr G

5 de jul. de 2017

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

por Aaron

10 de dic. de 2019

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

por Иван М

8 de abr. de 2017

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

por Kristoffer V

3 de jul. de 2019

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

por Faisal A

29 de jun. de 2020

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

por Anuj M

21 de jun. de 2020

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

por Deepak D

23 de nov. de 2018

Not specify & given instruction regarding how to submit the solution

por Pedro M

29 de abr. de 2017

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

por Vahid S

27 de jun. de 2020

I think programming assignments could be better but still OK.