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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
2,309 évaluations
471 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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376 - 400 sur 456 Avis pour Big Data Analysis with Scala and Spark

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

par Pedro M

Apr 29, 2017

Very interesting course about Spark, it covers a lot of key concepts!

par vahid s

Jun 27, 2020

I think programming assignments could be better but still OK.

par Francis T

Apr 16, 2017

I really liked the content regarding Dataframes and Datasets.

par Emmanouil G

Apr 01, 2017

Assignment Instructions need improvement in terms of clarity.

par Gongqi L

Apr 10, 2017

Very good course, but it needs more details and examples.

par kaushik

Apr 09, 2017

Good course ! But does need more programming assignments

par Mohammad T

Aug 24, 2019

such a beautiful course design for a bigData devlopers

par Kota M

Apr 05, 2018

It is a good course, but the lecturer speaks too fast.

par Wolfgang G

Aug 30, 2017

Very well-lead introductory, a bit lengthy at times.

par Manuel W

Apr 18, 2017

Would be better to have more and shorter exercises.

par Ruslan A

Aug 23, 2017

lectures don't correlate to practical assigment :(