Chevron Left
Retour à Big Data Analysis with Scala and Spark

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

4.7
2,078 notes
418 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

Jun 08, 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!

CR

Apr 10, 2017

Great introduction to spark. Fun assignments. Since it was the first ever session, there were quite a few kinks with the assignments. But the discussion forums rescued me any time I was stuck.

Filtrer par :

51 - 75 sur 402 Examens pour Big Data Analysis with Scala and Spark

par Alex S

May 05, 2018

Super course, well done Heather

par Matthias T

Aug 17, 2017

Great introduction to Spark accessed through Scala. Didactically awesome.

par Shashank B

Oct 15, 2017

It is an excellent course with good clear explanation of theoretical concepts and practical examples.

par Carlos S

Jan 23, 2018

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

par AJ C

Apr 09, 2017

This course is a nice guided way to get started with Apache Spark! I wish I took this course earlier when i was using Spark at my previous company. It would've come in handy. Plenty of great content and the course exercises supply good practice.

par Max Z

Mar 04, 2018

Excellent. I learned a lot from this course, even though I did not know much about scala. Strongly recommended this course

par Henoc M

Mar 26, 2017

Awesome course

par Ravi S

Jul 06, 2017

Course material is pretty good. Week 2 assignment is hard.

par David M

Sep 18, 2017

Concepts are very well explained..

par Aldrin

Jul 10, 2017

The information was explained really well for someone coming in with no spark and minimal scala knowledge. Due to this course I understood basic spark concepts well enough to begin understanding pipelines built on top of spark such as ADAM.

I would highly recommend this course to everyone.

par Alberto C B

Jun 30, 2018

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

par Estera K

Mar 20, 2017

AWESOME!

par Satendra k

Apr 09, 2017

Thanks

par Shane

May 10, 2018

Very well-organized courses about Spark ! Really learned some good practical tips. Hope there could be more explanations about the assignments.

par Mike D

Apr 06, 2017

Great introduction course to Spark with excellent materials and hand-on programming assignments. Thanks for taking effort to get this class online. I have enjoyed it very much.

Kudos to Professor Miller, we love you :-)

par pratik

Aug 10, 2017

The course starts from the basic concepts and moves towards the complex concepts. The most important thing is that minute details are taken into consideration and explained properly.

par Andrii P

Apr 09, 2017

Just awesome :)

par abhinav

Dec 10, 2017

Wonderful course!!!

par Neha B

May 19, 2017

It gave me very good understanding on Spark Architecture, functioning along with hands on over Scala. Good examples used during lessons.

par ciri

Jun 08, 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!

par Fernando R

Oct 28, 2017

it was a super interesting course

par Ananda P V

Aug 31, 2017

excellent introduction to Spark. I was always looking for some course which touches the underlying functional aspect of Spark then just showing syntactic values. Moreover this course also teaches how parallelism and distributed process works with Spark. You also get an idea why Spark is written in Scala.

par Manuel M C

Mar 23, 2017

Great course, keep up the good work.

par Andreas K

Jul 26, 2017

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

par Jayaprakash

Apr 09, 2017

Great Material and lecture videos. It covered important concepts we need to know about Spark and helped me to learn further. Assignments were on real datasets and helped me to explore different APIs if Spark and Scala.