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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
2,361 évaluations
486 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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126 - 150 sur 469 Avis pour Big Data Analysis with Scala and Spark

par Andrey M

Jan 10, 2019

Thank you for the great introduction in to the Spark, What it is and What are the most commonly used APIs.

par Daniele M

Jun 22, 2019

Great Introduction to spark. Programming assignments helped me to improve my skills. Thank you very much.

par Rajesh B

Jul 17, 2019

Very nice explanation, trainer has good knowledge, course materials are good, video quality is too good.

par Kolja M

Mar 25, 2018

Very nice in depth learnings. The teacher is very good and keeps the lessons short but still meaningful.

par Zdeněk H

Jul 22, 2017

Thanks to this course I think that I have finally understood partitioning and everything about Datasets.

par bezzineradhia@gmail.com

Sep 15, 2020

Excellent cours! par contre je n'arrive pas à obtenir mon certificat. Est cela toujours possible? Merci

par Marco B

Mar 16, 2018

Excellent course!

Well-developed lectures and good-structured modules

With hands-on programming examples

par Jijo T

Apr 13, 2017

It was well worth the wait! The instructor was good. Assignments were challenging as well as hands on!

par Shashank B

Oct 15, 2017

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

par Francois S

Sep 06, 2020

Very good in depth explanation of spark. Recommended for those who want to further understand spark.

par 本达 续

Aug 04, 2017

A very natural application of functional programming to real world distributed computation problems.

par Nishant T

Mar 28, 2017

Brilliant intro to Spark. I really like the enthusiasm with which Heather explains the key concepts.

par Alexander Z Q

Aug 27, 2017

Course with excellent content, methodology and teacher. It was an extraordinary learning experience

par Roberto S

Jul 04, 2017

Quite advanced; links seamlessly with the previous courses in the specialization. Very rewarding.

par Bogdan T

Feb 25, 2020

The amount of information delivered and the way it was explained is simply amazing. Thank you!

par Shiyan C

Mar 06, 2018

Wish we could have an in-depth spark class that cover spark streaming and structure streaming.

par Animesh K

Mar 17, 2017

Really Awesome course. The instructor is great. Looking forward to more courses from Heather.

par Jiri K

Apr 08, 2017

Awesome! Perhaps couple of tests would be handy, just a few to have something to start with.

par Thomas Z

Feb 10, 2018

Good course. Can recommend it for everyone who wants to get into the field of data-science.

par CAI X

Jul 16, 2017

Well explained and demoed . Good introduction to spark, the most useful big data framework!

par Vishnu P

May 15, 2018

The best course. Good lectures with best examples. Thanks a lot for this wonderful course.

par Vlad N

Apr 03, 2017

Nice topics regarding using partitions for Spark and encoders!! Really interesting course

par Guixin Z

Apr 05, 2017

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

par YEHOUENOU

Oct 20, 2019

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

par ANAND B

Dec 26, 2019

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