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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
2,383 évaluations
494 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
28 nov. 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
7 juin 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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126 - 150 sur 477 Avis pour Big Data Analysis with Scala and Spark

par Sreeraj R P

6 janv. 2019

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

par Rocky J

8 mai 2017

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

par Andrey M

10 janv. 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

22 juin 2019

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

par Rajesh B

16 juil. 2019

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

par Kolja M

25 mars 2018

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

par Zdeněk H

22 juil. 2017

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

par bezzineradhia@gmail.com

15 sept. 2020

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

par Marco B

16 mars 2018

Excellent course!

Well-developed lectures and good-structured modules

With hands-on programming examples

par Jijo T

13 avr. 2017

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

par Shashank B

15 oct. 2017

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

par Francois S

6 sept. 2020

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

par 本达 续

4 août 2017

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

par Nishant T

28 mars 2017

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

par Alexander Z Q

27 août 2017

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

par Roberto S

4 juil. 2017

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

par Ashish D

10 nov. 2020

An optimum level of detail in content, coupled with reasonably involved programming assignments

par Bogdan T

25 févr. 2020

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

par Shiyan C

6 mars 2018

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

par Animesh K

17 mars 2017

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

par Jiri K

7 avr. 2017

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

par Thomas Z

10 févr. 2018

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

par CAI X

16 juil. 2017

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

par Vishnu P

15 mai 2018

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

par Vlad N

3 avr. 2017

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