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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
2,266 évaluations
459 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!

BP

Nov 29, 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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151 - 175 sur 442 Avis pour Big Data Analysis with Scala and Spark

par Joseph C A A

Apr 07, 2017

Excelente curso, muy bien material y explicado de manera muy dinámica y practica.

par Симкин И М

Mar 10, 2019

Perfectly. Very competent teacher and good tasks. Requires knowledge of scala.

par Javier R C

Jun 30, 2017

Great introduction to Spark. Very interesting lectures, slides and assignments

par Andrzej J

Mar 20, 2017

Great course, presentations prepared with passion, exercise of right level....

par Fábio A R

May 13, 2019

Excellent course, very handful for whoever is starting his studies in spark.

par Alberto C B

Jun 30, 2018

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

par Arthur-Lance

Sep 15, 2018

really great course, it help me fast get into the new area. thanks a lot!!!

par Giuliano C

Jul 02, 2017

Excellent course, my only suggestion would be to split week 4 into 2 weeks

par 张腾

Dec 26, 2019

Good course with well-designed assignments, I got a lot from this course!

par Matthias T

Aug 17, 2017

Great introduction to Spark accessed through Scala. Didactically awesome.

par Andreas K

Jul 26, 2017

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

par RAMESH K M

Apr 23, 2017

Instructor has been explaining the concepts with more practical direction

par Karim M

Oct 15, 2018

Amazing course, i learned a lot even if i'm working with scala and spark

par Deleted A

Jul 11, 2017

Easy to follow. Really well explained and planned. Strongly recommended.

par Ronald C M

May 14, 2019

The best way to get to know Spark Fundamentals and Spark Core libraries

par Cisco D

May 06, 2018

Accurate content and good explanations. I have got fun with this course

par Mostafa J

Jun 13, 2017

Very challenging but I learned a lot.

Thanks a lot, Dr. Heather Miller!

par AOC

May 17, 2019

Very engaging and tutor showed excellent delivery. thanks to Coursera.

par Rafael M C

Jun 20, 2017

Content was useful, overall a good course. Lectures were kind of dull.

par Beibit

Jun 27, 2019

Very nice course. Good level of explanations, good examples and pace.

par rohith a k

Apr 30, 2018

It is indeed a very good course, but 2nd assignment was tough though.

par Andrew P M

Apr 08, 2020

Excellent course with great content. Really helped me in my day job!

par Kyle A

Oct 23, 2019

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

par Khaled J A

Sep 28, 2019

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

par Carlos S

Jan 23, 2018

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