Chevron Left
返回到 Big Data Analysis with Scala and Spark

學生對 洛桑联邦理工学院 提供的 Big Data Analysis with Scala and Spark 的評價和反饋

4.7
2,316 個評分
473 條評論

課程概述

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....

熱門審閱

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!

篩選依據:

126 - Big Data Analysis with Scala and Spark 的 150 個評論(共 456 個)

創建者 Jijo T

Apr 13, 2017

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

創建者 Shashank B

Oct 15, 2017

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

創建者 本达 续

Aug 04, 2017

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

創建者 Nishant T

Mar 28, 2017

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

創建者 Denis A Z Q

Aug 27, 2017

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

創建者 Roberto S

Jul 04, 2017

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

創建者 Bogdan T

Feb 25, 2020

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

創建者 Shiyan C

Mar 06, 2018

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

創建者 Animesh K

Mar 17, 2017

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

創建者 Jiri K

Apr 08, 2017

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

創建者 Thomas Z

Feb 10, 2018

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

創建者 CAI X

Jul 16, 2017

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

創建者 Vishnu P

May 15, 2018

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

創建者 Vlad N

Apr 03, 2017

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

創建者 Guixin Z

Apr 05, 2017

very nice material and organized very well. still amazed what spark can do with the data.

創建者 YEHOUENOU

Oct 20, 2019

This course allows me to learn so many things about data analysys and Big data modeling.

創建者 ANAND B

Dec 26, 2019

Very Good Course For College students who completed and wants to start professionally.

創建者 Shashishekhar D

Jan 06, 2018

Simple, Easy to understand. The course has helped me a lot to understand the concepts.

創建者 Merel C H T

Jun 07, 2017

I really liked the assignments in this course and all the content was well explained.

創建者 Laurent S

Apr 02, 2017

Fantastic initiation to Spark. Thanks Heather and the whole team at EPFL & Coursera.

創建者 Jean-Francois T

Mar 27, 2017

Good material and induction to Spark, good complement of parallel computing in Scala

創建者 Patrick

Jan 12, 2018

Been working with Spark since 0.9 and this was still worthwhile. Excellent course.

創建者 Amit

Apr 10, 2017

Production quality exercises. Prepares one for working on Spark almost immediately.

創建者 Huang P

May 23, 2020

This course is really helpful!!! Good introduction course for Spark sql beginner.

創建者 BOUDRAHEM

Apr 16, 2019

Everything was excellent. This was one of the best courses I have attended so far