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学生对 École Polytechnique Fédérale de Lausanne 提供的 Big Data Analysis with Scala and Spark 的评价和反馈

4.6
2,594 个评分

课程概述

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://hua.dididi.sbs/learn/parprog1....

热门审阅

MP

Apr 8, 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.

NG

Mar 27, 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.

筛选依据:

126 - Big Data Analysis with Scala and Spark 的 150 个评论(共 509 个)

创建者 joao d s

Apr 9, 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.

创建者 Srinivasa K

Jan 1, 2018

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

创建者 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

创建者 German A S G

Apr 22, 2018

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

创建者 Gregory E

Mar 10, 2018

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

创建者 Adrian D

Dec 22, 2020

The course is explained very well but the assignments are a bit ambiguous. The requirements can be a bit clearer.

创建者 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.

创建者 Aleksander K

Apr 2, 2017

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

创建者 Jevelson S

May 17, 2017

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

创建者 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.

创建者 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.

创建者 Tomasz J

Apr 8, 2017

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

创建者 Sreeraj R P

Jan 6, 2019

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

创建者 Rocky J

May 8, 2017

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

创建者 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.

创建者 Daniele M

Jun 22, 2019

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

创建者 Rajesh B

Jul 16, 2019

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

创建者 Kolja M

Mar 25, 2018

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

创建者 Zdeněk H

Jul 22, 2017

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

创建者 radhia b

Sep 15, 2020

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

创建者 Marco B

Mar 16, 2018

Excellent course!

Well-developed lectures and good-structured modules

With hands-on programming examples

创建者 Jijo T

Apr 13, 2017

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

创建者 Shashank B

Oct 14, 2017

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

创建者 Francois S

Sep 6, 2020

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

创建者 本达 续

Aug 4, 2017

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