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

4.7
звезд
Оценки: 2,414
•
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

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.

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!

Фильтр по:

176–200 из 482 отзывов о курсе Big Data Analysis with Scala and Spark

автор: 张腾

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26 дек. 2019 г.

Good course with well-designed assignments, I got a lot from this course!

автор: Matthias T

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17 авг. 2017 г.

Great introduction to Spark accessed through Scala. Didactically awesome.

автор: Andreas K

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26 июля 2017 г.

It was a pleasure to follow the video lectures and solve the assignments.

автор: RAMESH K M

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23 апр. 2017 г.

Instructor has been explaining the concepts with more practical direction

автор: Fabio P

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2 июня 2020 г.

Best course so far in the Functional Programming in Scala Specialization

автор: Karim M

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15 окт. 2018 г.

Amazing course, i learned a lot even if i'm working with scala and spark

автор: Deleted A

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11 июля 2017 г.

Easy to follow. Really well explained and planned. Strongly recommended.

автор: Ronald C M

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13 мая 2019 г.

The best way to get to know Spark Fundamentals and Spark Core libraries

автор: Francisco D

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6 мая 2018 г.

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

автор: Mostafa J

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12 июня 2017 г.

Very challenging but I learned a lot.

Thanks a lot, Dr. Heather Miller!

автор: AOC

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17 мая 2019 г.

Very engaging and tutor showed excellent delivery. thanks to Coursera.

автор: Rafael M C

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19 июня 2017 г.

Content was useful, overall a good course. Lectures were kind of dull.

автор: Beibit

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27 июня 2019 г.

Very nice course. Good level of explanations, good examples and pace.

автор: rohith a k

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30 апр. 2018 г.

It is indeed a very good course, but 2nd assignment was tough though.

автор: Andrew P M

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8 апр. 2020 г.

Excellent course with great content. Really helped me in my day job!

автор: Kyle A

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23 окт. 2019 г.

Very real examples for the exercises and a great way to learn Spark!

автор: Khaled J A

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28 сент. 2019 г.

this is an outstanding course to learn BIg data with scala and spark

автор: Carlos S

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23 янв. 2018 г.

Very good !! ... Thanks Heather Miller for such cool class !! (Y) <3

автор: Martin P

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22 авг. 2017 г.

From easy to hard, not very long, but very practical!

Thanks Heather!

автор: Martin M

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2 мая 2020 г.

A very nicely paced introduction to spark and all of its major APIs

автор: Vishwanath G

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17 мар. 2018 г.

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

автор: Milorad T

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9 апр. 2020 г.

The best in the specialization. Teacher is such easy to listen to.

автор: Johan R

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28 дек. 2018 г.

Very good introduction which gets you to be productive on your own

автор: Eike H

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16 мар. 2020 г.

Great course, helped me quickly gain important insights to Spark.

автор: Gao Y

•
4 апр. 2017 г.

Nice course. Big jump at the end. The assignment is well hinted.

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