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Avis et commentaires pour d'étudiants pour Big Data Analysis with Scala and Spark par École polytechnique fédérale de Lausanne

4.7
étoiles
2,308 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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51 - 75 sur 455 Avis pour Big Data Analysis with Scala and Spark

par PatrickEifler

Feb 21, 2020

I really enjoyed the course. It is very comprehensive and exhaustive. It covers a lot of details on Spark and all its APIs and looks under the hood. I recommend to anyone who really wants to learn Spark.

par Alexandr M

Jun 24, 2017

This course gives basics of distributed computing by practical examples, several alternative approaches to the same problem are considered, this gives more insight and flexibility. Very interesting one!

par Darcio

Apr 04, 2017

Excellent and broad view of Spark and its design foundations. Besides the formal knowledge of Spark, it could change my perspective about how Scala and Akka had a crucial role in the Spark architecture.

par Bill P

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.

par ciri

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!

par Choy R

Apr 10, 2017

Great introduction to spark. Fun assignments. Since it was the first ever session, there were quite a few kinks with the assignments. But the discussion forums rescued me any time I was stuck.

par Natalia G

Mar 28, 2017

goot as introduction about spark and big data.

Small notice: it is incorrect to compare performance hadoop and spark. As I understand, spark was expected to be compacred with MapReduce.

par William D

Dec 03, 2017

Excellent course! It's clear the instructor put a ton of thought and hard work into this. I learned a lot that I wouldn't have learned without taking this class. Thank you, Heather!

par pratik

Aug 10, 2017

The course starts from the basic concepts and moves towards the complex concepts. The most important thing is that minute details are taken into consideration and explained properly.

par Enrique M B

May 23, 2017

I had previous experience with Scala and Spark and I really enjoyed the course.

I learned some very interesting things, specially y de last 2 weeks about partitioning and Spark SQL.

par Nikola M

Apr 03, 2017

Good overview of the subject, covering all important aspects. Assignments were well prepared, with a couple of unclear points that were quickly discovered and explained on the forums.

par Santiago A A

Sep 23, 2019

Awesome course and awesome teacher! Nevertheless, to grasp the most of this course, you should do the previous 3 courses of the "Functional Programming in Scala" specialization.

par Yuriy P

Oct 27, 2017

Dear Heather,

your course on big data with scala is the very first online course I participate in.

I enjoy the way you explain the material and receive a real aesthetic pleasure.

par Luca D S

Dec 01, 2017

It surely opens your mind, even on unrelated topics, I found myself able to apply some of the distributed computing logics even to imperative sequential programming. Good job.

par Mani P

Apr 09, 2017

Excellent material. Very good flow. Heather has an amazing way of walking through the flow and simplifying the concepts. Great assignments -- takes a bit longer than 3 hours.

par Piotr A

Mar 16, 2017

Great course. Very informative. I have learned a lot. Lessons are very well prepared and structured. Implementation tasks are interesting. Thanks to all EPFL team. Great job!

par Paweł W

Apr 03, 2020

Well explained with many details, both: theory and practice really well prepared. I highly recommend to take this course if you're interested in Spark and big data analysis.

par Mykola S

Jun 30, 2017

Great course with nice explanations of some Spark concepts. The third week was particularly useful for my understanding of Spark shuffling and partitioning. Thanks a lot!

par Fernando

Jun 06, 2018

Great course about Big Data analysis

It was my first exposure to Big Data frameworks and I learned a lot about the problems trying to be solved and the power of Spark.

par Seleznev A

May 09, 2020

I like this course because It isn't about analysis (as Yandex course here), it's about real work with Apache Spark for analysis. One of the best courses on Coursera!

par Mohamed A T

Aug 06, 2019

the theory is very clear and well explained.

the practical assignments are a little bit ambiguous but they are overall very good and challenging.

highly recommended!

par Andronik

Jun 15, 2017

Nice introduction into Spark with details about how Spark works internally. This course also talks about when to use RDD/Dataframe/Dataset and performance pitfalls.

par TAZI E G

Oct 28, 2019

really good material, well explained with many examples.

maybe more information or precisions should be added to the assignments but good material and explanations

par Seongsan K

Mar 09, 2018

It was really useful material. It would be really nice if there are more assignments to polish the materials we learn, but I am really satisfied with the course.

par Walter D

Jan 01, 2018

Great course to get going with Apache Spark. Would recommend to someone who has java or scala experience already and wants to learn about distributed processing.