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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
2,076 個評分
418 個審閱

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

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!

CR

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.

篩選依據:

201 - Big Data Analysis with Scala and Spark 的 225 個評論(共 402 個)

創建者 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.

創建者 Daniel D

Apr 20, 2017

Great course - well prepared by the team.

創建者 Nicolas D

Apr 13, 2017

Amazingly polished and well taught course although being given for the first time

創建者 César A

Mar 29, 2017

Excellent course. Fun and entertaining.

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 Ravikumar

Apr 09, 2017

It is very good course material for Spark with scala.

創建者 Raduś N

May 23, 2017

Awesome teacher - very engaging. This is probably first time when I am watching lectures with pleasure. Also you can easily feel that course is fresh and specially made for this unlike previous ones from Scala speciality.

創建者 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!

創建者 Shane

May 10, 2018

Very well-organized courses about Spark ! Really learned some good practical tips. Hope there could be more explanations about the assignments.

創建者 Mike D

Apr 06, 2017

Great introduction course to Spark with excellent materials and hand-on programming assignments. Thanks for taking effort to get this class online. I have enjoyed it very much.

Kudos to Professor Miller, we love you :-)

創建者 Estera K

Mar 20, 2017

AWESOME!

創建者 Satendra k

Apr 09, 2017

Thanks

創建者 Ravi S

Jul 06, 2017

Course material is pretty good. Week 2 assignment is hard.

創建者 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.

創建者 Andrzej J

Mar 20, 2017

Great course, presentations prepared with passion, exercise of right level....

創建者 Atsuya K

Oct 30, 2017

A good quick intro to Spark.

創建者 Markus B

Apr 10, 2017

Great course overall. The feedback on failed tests and out of memory errors on the assignments can be improved to make it more user-friendly.

Would be great to see a more advanced version of this course that dives deeper into the machine learning features of Spark, etc.

創建者 Angel V

Aug 21, 2017

very usefull

創建者 Heyang W

Aug 18, 2017

A walk through from the oldest RDD to newest Dataset API of spark, together with brief introduction on how spark work. Home work set up several scenario to use the different kinds of spark API to do basic data analysis.

創建者 abdhesh

Dec 31, 2017

It was an awesome and well explained course.

創建者 Cisco D

May 06, 2018

Accurate content and good explanations. I have got fun with this course

創建者 kevin n

Jun 26, 2017

Great course. Thanks!

創建者 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.

創建者 abhinav

Dec 10, 2017

Wonderful course!!!

創建者 Neha B

May 19, 2017

It gave me very good understanding on Spark Architecture, functioning along with hands on over Scala. Good examples used during lessons.