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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
2,364 évaluations
488 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

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.

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!

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376 - 400 sur 471 Avis pour Big Data Analysis with Scala and Spark

par Björn W

Apr 10, 2017

Quizzes in the lecture videos would be nice. Also more, but shorter videos would be enjoyable. Programming assignments very nice!

par Evgheni E

Mar 25, 2017

The video speed is way to fast, this woman is speaking really fast, first as i slowed the video down at 75% was its ok.

par Rudolf Z

Oct 29, 2017

Good course. Lectures intoduce main concepts of spark very well. Also good explained how spark works under the hood.

par Jose R

Feb 08, 2018

Creo que es un curso muy educativo y muy práctico con retos que permiten conocer las herramientas en profundidad

par Andrejs A

Jan 08, 2020

Specially the last lectures where useful. but there is quite some gap between the lectures and practical task.

par Léo Z

May 07, 2017

Good course. Could be more comprehensive about analysis. Content is all video and Lecture notes would be nice.

par ANKIT S

Oct 25, 2018

Very good and knowledgeable course. It basically explains about spark core, dataframe, dataset and spark sql.

par Łukasz G

Apr 25, 2017

Good introduction to Spark. One thing that I didn't like was use of simple Ints and Strings instead of types.

par CarloNicolini

Apr 07, 2020

Learned a lot of new things, but I would have focused on more but shorter and more variegate assignments.

par Ting T W

May 09, 2020

Nice course, get a fundamental knowledge of spark, scala. Homework is good with a decent level.

par Patrik

Jan 13, 2020

The videos had focus issues every now and again. It was still possible to see everything shown

par Jose P A A

Jun 29, 2017

Good stuff, well presented, but the instructor takes no risks to explain more complex details.

par aknin k

Dec 25, 2019

Bien mais j'aurais aimé avoir plus d'exercices pour s'entrainer sur les dataframes / datasets

par Chuishi

Jan 09, 2018

Very good course! Contents are very useful. The lectures are intuitive, thorough and clear.

par Sjoerd T

Apr 08, 2017

Took a bit long before the course actually started, but when it did, it was a great course!

par Sridhar K

Sep 07, 2018

Really i get a wonderful experience and it gives the platform to increase my knowledge.

par Federico A G C

Jun 30, 2018

The instructor is great as well as the material. The exercises are a little off topic

par Khalid S

Mar 25, 2018

The course didn't flow as smoothly as I would have liked but I still recommend it.

par Piotr G

Jul 05, 2017

Great content, however some materials are not clear and videos had a few problems.

par Aaron

Dec 10, 2019

A good course to know about how spark works but not how to use it, I like this!

par Иван М

Apr 08, 2017

Nice course, could use little fixes. Sometimes practice goes ahead of theory

par Kristoffer V

Jul 03, 2019

Sometimes the labs included techniques not fully covered by the lectures.

par Faisal A

Jun 29, 2020

Assignments could be made a little better. The lecture content is great.

par Anuj M

Jun 21, 2020

Great course, trainer is simply amazing with the delivery and teachings

par Deepak D

Nov 23, 2018

Not specify & given instruction regarding how to submit the solution