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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
2,331 évaluations
476 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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101 - 125 sur 459 Avis pour Big Data Analysis with Scala and Spark

par Vladislav B

Apr 08, 2017

Very good and interesting videos. Really clear explanations. Practice part worse, but Forum helps with all misunderstandings.

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 VincentWMChan

Apr 25, 2017

Pretty nice course. But with one comment on the grading system, sometime the comment & message is not that intuitive enough.

par Thierry M

Feb 01, 2018

Very complet and accurate about Spark with Scala. Maybe an assignement with MongoDB or the like would be a plus

Thank you

par Aleksander S

May 05, 2017

Amazing lectures, and challenging tasks to do on the way. I really enjoyed going through the course, and I learned a lot.

par Ubaldo P

Apr 10, 2017

It is a course well organized, full of useful notions e with good assignments to assess your progress in learning stuff.

par manuel B L

Jul 22, 2018

Muy bueno, Excelente. Todos los conocimientos obtenidos me serán de mucha ayuda en mi camino hacia el mundo de Big Data

par joao d s

Apr 09, 2017

Really helpful, it's a really good way to get to know how spark works as well as a good round up on basic data mining.

par srinivasa k

Jan 02, 2018

I really liked the course, it gave me head start on spark definitely there is much more to learn, nice intro course.

par OUMOUSS E M

Jun 18, 2017

Very good course, it is a must for anyone who is starting in spark using scala, thanks a lot, it did really help me

par German A S G

Apr 23, 2018

Good course, it goes beyond functional algorithms and teaches also about how to improve performance of the cluster

par Gregory E

Mar 10, 2018

Good course, shows a lot of useful and unobvious things about Spark. But not always has well described assignments

par Vlad F

Mar 14, 2018

I learned a great deal about the Spark API. I recommend it to anybody eager to self educate after working hours.

par Aleksander K

Apr 02, 2017

This class is great! Highly recomended! It helped me to understand and perform better at my daily working tasks!

par Jevelson S

May 18, 2017

This course is awesome. I got a pretty good idea of spark. In fact this course helped me understand scala well.

par Wei-Ting C

Sep 13, 2017

This is my first completed course on Coursera! It's good for understanding Apache Spark's RDD and its usage.

par Roman Z

Apr 14, 2017

I like the course tempo very much. It kept me away from doing anything else while listening to the lectures.

par Tomasz J

Apr 09, 2017

Great, short course, which gives great insight into Spark and ad-hoc data processing on Hadoop-ish clusters.

par Sreeraj R P

Jan 07, 2019

Very good course for a great start in Spark. Require some initial knowledge and coding experience in Scala.

par Rocky J

May 08, 2017

Great subject, well explained with solid weekly assignments make this course a stellar learning experience.

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.