Chevron Left
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

4.7
étoiles
2,384 évaluations
494 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: https://www.coursera.org/learn/parprog1....

Meilleurs avis

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 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!

Filtrer par :

151 - 175 sur 477 Avis pour Big Data Analysis with Scala and Spark

par Guixin Z

5 avr. 2017

very nice material and organized very well. still amazed what spark can do with the data.

par YEHOUENOU

20 oct. 2019

This course allows me to learn so many things about data analysys and Big data modeling.

par ANAND B

26 déc. 2019

Very Good Course For College students who completed and wants to start professionally.

par Shashishekhar D

6 janv. 2018

Simple, Easy to understand. The course has helped me a lot to understand the concepts.

par Merel C H T

7 juin 2017

I really liked the assignments in this course and all the content was well explained.

par Laurent S

2 avr. 2017

Fantastic initiation to Spark. Thanks Heather and the whole team at EPFL & Coursera.

par Jean-Francois T

27 mars 2017

Good material and induction to Spark, good complement of parallel computing in Scala

par Patrick

12 janv. 2018

Been working with Spark since 0.9 and this was still worthwhile. Excellent course.

par Amit K

10 avr. 2017

Production quality exercises. Prepares one for working on Spark almost immediately.

par Huang P

22 mai 2020

This course is really helpful!!! Good introduction course for Spark sql beginner.

par BOUDRAHEM

16 avr. 2019

Everything was excellent. This was one of the best courses I have attended so far

par Аркадий К

6 août 2017

Very good for Scala beginners and students who are entering the world of Big Data

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 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 张腾

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 M

23 avr. 2017

Instructor has been explaining the concepts with more practical direction