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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.

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76 - Big Data Analysis with Scala and Spark 的 100 個評論(共 402 個)

創建者 Walter E Z

Apr 02, 2017

Great introduction to Spark and it's data structures. The course is easy to follow, and lecturer is entertaining and really engaged.

Thanks, I really had fun !

創建者 Kyle L

Jun 11, 2017

very good course, really enjoyed

創建者 Angel A

May 07, 2017

love this topic!!!! New and frontier technology in NLP. More and more concentrations and analysis on this big data research.

I wish more courses about Parallel clustering using Spark available to the many.

創建者 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.

創建者 Zdeněk H

Jul 22, 2017

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

創建者 Andy S R

Aug 21, 2017

It's a great course for those who want to learn Apache Spark.

創建者 Shae S

Mar 23, 2017

I learned so much from this course! It was amazing how Dr. Miller used concepts that were meticulously built up in the earlier courses, such as evaluation strategy, functional collections, reactive programming, and associativity, to describe the core of Spark in only four units. As someone coming from more of a statistics background, I started this specialization only to learn Spark, so I wasn't always sure how relevant learning the more theoretical underpinnings of Scala would be. It turns out that it was pretty essential, while also just making me a better programmer. Looking forward to the capstone!

創建者 IURII B

Aug 07, 2017

Thanks !

創建者 Jeroen M

Apr 10, 2017

Great course, well explained, instant value!

創建者 Jorge B C

May 02, 2017

Very interesting course!!

創建者 Salvatore R

Apr 23, 2017

This course is very well done.

創建者 Rafael M

Oct 18, 2017

Great Course

創建者 Ismail A I

Apr 09, 2017

A very interesting and useful course.

Highly Recommended!

創建者 Grzegorz G

Mar 21, 2017

Some of the assignments are a bit challenging, due to grading system I suppose, but in the end general impression about this course is very positive

創建者 Joseph C A A

Apr 07, 2017

Excelente curso, muy bien material y explicado de manera muy dinámica y practica.

創建者 Marcus E

Apr 09, 2017

The course gave me insight into the world och big data batch processing and how Spark solves it. Heather does a great job with presenting the material in a thorough way with relevant theory and illustrative examples. The assignments are well balanced and forces you to apply all your new knowledge when solving them. I highly recommend this course!

創建者 Juan L R A

Jun 19, 2017

Very good course and good materials for learning

創建者 Oleg m

Apr 10, 2017

First weeks were overcomplicated with k-means and stuff not related to Spark itself.

In general - GREAT JOB !!! Thx for such kind courses

創建者 Tal G

Apr 08, 2017

Excellent teacher

創建者 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.

創建者 Dennis Y

Jun 06, 2017

Thank the teacher, the course is very good, the teacher is also very nice. The first three weeks of feeling learned a lot of new knowledge, the last week may be each class time is relatively long. It would be better if you could split it.

創建者 samy k

Mar 21, 2017

Interesting and challenging course! Thank You!

創建者 Neeraj V D

Feb 27, 2018

limited content with dewp knowledge

創建者 Jevelson S

May 18, 2017

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

創建者 lu

Sep 17, 2017

A good introduction to Scala programming in Spark environment.