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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

4.7
étoiles
2,383 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

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!

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.

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176 - 200 sur 477 Avis pour Big Data Analysis with Scala and Spark

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 Cisco 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!

par Kyle A

23 oct. 2019

Very real examples for the exercises and a great way to learn Spark!

par Khaled J A

28 sept. 2019

this is an outstanding course to learn BIg data with scala and spark

par Carlos S

23 janv. 2018

Very good !! ... Thanks Heather Miller for such cool class !! (Y) <3

par Martin P

22 août 2017

From easy to hard, not very long, but very practical!

Thanks Heather!

par Martin M

2 mai 2020

A very nicely paced introduction to spark and all of its major APIs

par Vishwanath G

16 mars 2018

Learnt a lot with this course. Excellent explinations of concepts..

par Milorad T

9 avr. 2020

The best in the specialization. Teacher is such easy to listen to.

par Johan R

28 déc. 2018

Very good introduction which gets you to be productive on your own

par Eike H

16 mars 2020

Great course, helped me quickly gain important insights to Spark.

par Gao Y

4 avr. 2017

Nice course. Big jump at the end. The assignment is well hinted.

par Yogen R

28 mars 2020

Excellent course materials and concepts explanation by Heather!

par Navjinder V

18 déc. 2018

Great Course content with amazing and challenging assignments!

par lu

16 sept. 2017

A good introduction to Scala programming in Spark environment.

par Gary Z

9 avr. 2017

Best Spark Scala course! Clear explanation! Thanks Dr. Heather