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Вернуться к Big Data Analysis with Scala and Spark

Отзывы учащихся о курсе Big Data Analysis with Scala and Spark от партнера Федеральная политехническая школа Лозанны

4.7
звезд
Оценки: 2,411
•
Рецензии: 498

О курсе

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....

Лучшие рецензии

CC
7 июня 2017 г.

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!

BP
28 нояб. 2019 г.

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.

Фильтр по:

226–250 из 481 отзывов о курсе Big Data Analysis with Scala and Spark

автор: Anand S

•
14 авг. 2018 г.

good implementation of programming knowledge recieved

автор: Oleg O

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29 июля 2017 г.

Good course, but sometime there are too much details.

автор: Ravikumar

•
9 апр. 2017 г.

It is very good course material for Spark with scala.

автор: Dmitriy K

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20 мар. 2017 г.

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

автор: Robson R S P

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12 апр. 2020 г.

If you are a spark beginner, this is a great course.

автор: Alexey A

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13 июля 2019 г.

The most interesting course in whole specialization.

автор: 李东恒

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24 янв. 2020 г.

Very good course for learning and practicing Spark.

автор: Yuri R

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24 окт. 2019 г.

Liked the course. Wasn't familiar with spark before

автор: Cliff R

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22 июля 2018 г.

Gives a good grounding in the fundamentals of Spark

автор: Kovalenko S

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17 июля 2017 г.

Курс очень понравился, спасибо большое за ваш труд!

автор: Adrien C

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29 июня 2017 г.

Interesting course, the last week feels most useful

автор: Juan L R A

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19 июня 2017 г.

Very good course and good materials for learning

автор: Florian B

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18 нояб. 2017 г.

Super cours, merci beaucoup! EPFL always rocks.

автор: Devaki B

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15 апр. 2017 г.

It was good. Got indepth knowledge of Spark API

автор: Harshad H

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30 окт. 2019 г.

Best Course for Big Data Learning in the World

автор: David F S

•
14 янв. 2019 г.

Very informative. Well-organized presentation.

автор: Husain K

•
7 мая 2017 г.

Great course, learnt a lot from it. Thank you.

автор: samy k

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21 мар. 2017 г.

Interesting and challenging course! Thank You!

автор: Robert C M P

•
11 февр. 2019 г.

Excellent videos, explanation, and resources!

автор: shubham m

•
10 июля 2018 г.

good but give more practical of small program

автор: abdhesh

•
31 дек. 2017 г.

It was an awesome and well explained course.

автор: Jeroen M

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9 апр. 2017 г.

Great course, well explained, instant value!

автор: Hong C

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14 апр. 2020 г.

A perfect resource to get start with Spark.

автор: Denys L

•
5 дек. 2018 г.

Very nice, but a little bit outdated course

автор: Zhenhua w

•
30 окт. 2019 г.

The lecture is well-organized

and excellent

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