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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: 2,383
Рецензии: 494

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:

201–225 из 477 отзывов о курсе Big Data Analysis with Scala and Spark

автор: Janis S

7 окт. 2020 г.

The best Apache Spark course I have seen so far. Many thanks.

автор: Konrad C

27 янв. 2019 г.

A lot things to learn and experiment.

Challenging assignments.

автор: Natalija I

26 сент. 2018 г.

Great course, I really enjoyed learning! Thank you Dr. Miller

автор: Deleted A

21 авг. 2017 г.

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

автор: Parker G

10 апр. 2017 г.

Great course! The powerpoint/slides/pdfs are a GREAT resource

автор: Carsten I

30 июня 2019 г.

Excellent class, very well stuctured, clear and informative.

автор: Murat A

19 янв. 2019 г.

It was very challenging, but also informative. Thanks a lot.

автор: Manoj K

27 авг. 2017 г.

This course make me to fall in love with SPARK framework :)

автор: Sivakumar P

29 нояб. 2018 г.

Course is very useful to understand Spark and Scala things.

автор: Ravishankar N N

14 сент. 2017 г.

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

автор: Ravi S

6 июля 2017 г.

Course material is pretty good. Week 2 assignment is hard.

автор: Nikhil R

9 нояб. 2019 г.

Helpful for anyoe who wants to start with basics of Spark

автор: Art P

10 мар. 2018 г.

Thank you! Some additional examples would be appreciable.

автор: Evaldas M

8 апр. 2017 г.

great course, finally understand what spark is all about!

автор: GIORGIO L

27 мая 2020 г.

Very good course to understand Apache Spark using scala.

автор: Charmy G

13 янв. 2020 г.

Loved it all!! Thanks for the good information on Spark.

автор: Ismail A I

9 апр. 2017 г.

A very interesting and useful course.

Highly Recommended!

автор: sheng w

10 янв. 2019 г.

Very useful course and great materials and assignments.

автор: Pushkin G

6 мая 2018 г.

Very useful lessons. Great way to get started on Spark.

автор: Faiaz S

13 июля 2017 г.

There is some little mistakes in course(like on slides)

автор: Fabian D A

28 апр. 2020 г.

Excellent material and challenging exercises, love it!

автор: Mohamed R A

30 июня 2020 г.

Amazing course, thanks for the professor and Coursera

автор: Anand S

14 авг. 2018 г.

good implementation of programming knowledge recieved

автор: Oleg O

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.