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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
2,074 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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101 - Big Data Analysis with Scala and Spark 的 125 個評論(共 402 個)

創建者 abdhesh

Dec 31, 2017

It was an awesome and well explained course.

創建者 kevin n

Jun 26, 2017

Great course. Thanks!

創建者 Evaldas M

Apr 08, 2017

great course, finally understand what spark is all about!

創建者 Vishwanath G

Mar 17, 2018

Learnt a lot with this course. Excellent explinations of concepts..

創建者 Martin A

May 03, 2017

Great course, good intro into Spark.

創建者 Mykola S

Jun 30, 2017

Great course with nice explanations of some Spark concepts. The third week was particularly useful for my understanding of Spark shuffling and partitioning. Thanks a lot!

創建者 Adel F

Jan 08, 2018

Course is solid, useful concepts are thought. Assignments are interesting.

Points for improvement:

I wish this course was 2-3 courses focusing on topic with more assignments. If a concept is reviewed by the student is not challenged with tough questions the concept is not learned. People taking this course are already advanced enough to tackle difficult challenges, sometimes it appears that instructor assumes that students are entry level.

A note for online instructors: avoid jokes. They do not work online.

I think a specialization on applications of spark with scala covering AI, graph and text processing would be interesting. Overall thanks for the effort; pretty good.

創建者 Rajesh G

Dec 02, 2017

Excellent course!

創建者 Pavel T

Apr 06, 2017

Very interesting course. Heather presents at just right level of abstraction to my taste and her presentation is very lively so it is easy to stay focused.

Formally, this is a course on a particular set of software tools and many such courses are not very useful unless one is to start applying learned skills immdeiately because the material starts getting obsolete the day the course is passed.

I believe that this course, however, teaches important priniples that outlive the particular toolkit, in particular the art of reasoning about algorithms on distributed collections, in particular, their performance. One would expect this to be a complex subject but somehow this course makes it feel simple -- which is a good indicator of high quality.

創建者 Cisco D

May 06, 2018

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

創建者 Dario G

Sep 08, 2017

Lovely presentation of Apache Spark fundamentals using Scala. I believe that this course gives you enough background to do just about anything you want (as long as you have some familiar with Scala and SQL, and are willing to dig deeper).

創建者 Eric L

Apr 09, 2017

Demystified the subject for me. I felt like the lecturer covered a considerable amount of material in relatively short time. The assignments helped to cement the knowledge acquired over the duration of the course.

創建者 Ravishankar N N

Sep 15, 2017

Superb course..very detailed and useful.. highly recommend

創建者 Liqun Y

Jun 30, 2017

Very useful. Dr. Miller apparently did a very good job. I strongly suggest beginners to read the "Learning Spark" book and then take this class.

創建者 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.

創建者 Emanuel E d S O

Oct 22, 2017

Excelente curso. Já trabalhei com Spark, mas tive a oportunidade de aprender muitas coisas novas sobre ele. Achei muito interessante a abordagem sobre as novas estruturas de dados que chegaram nas novas versões (para mim, pelo menos, pois trabalhei com a versão 1.6). Recomendo.

創建者 Darcio

Apr 04, 2017

Excellent and broad view of Spark and its design foundations. Besides the formal knowledge of Spark, it could change my perspective about how Scala and Akka had a crucial role in the Spark architecture.

創建者 Fedor C

Aug 31, 2017

Very interesting course! Thanks!

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 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 Neeraj V D

Feb 27, 2018

limited content with dewp knowledge

創建者 Anna B

Mar 20, 2017

The course covers the important concepts and explains them in detail.

Homework tasks really make you think, revisit the lectures and read documentation, until you get it right, and that all deepens understanding of the material.

I also obtained some clues for the future: the lectures provided me with context, which helps formulate questions when searching for answers elsewhere.

創建者 Zhaokang P

Sep 18, 2017

this course help me form a basic understanding of Spark and how to use it to analyze large scale dataset. Besides fundamental knowledge of how to use, the lecturer also provide students with some deeper concept of how to optimize the performance of spark programming, which can be very useful in running code on large dataset.

創建者 jose c a

May 05, 2018

Muy Bueno!!!!

創建者 Dmitriy K

Mar 20, 2017

Thanks Heather! You did a great job with this course.