Chevron Left
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

Оценки: 2,518
Рецензии: 517

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:

Лучшие рецензии

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.

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:

151–175 из 500 отзывов о курсе Big Data Analysis with Scala and Spark

автор: ASHISH D

10 нояб. 2020 г.

An optimum level of detail in content, coupled with reasonably involved programming assignments

автор: Tudose B C

25 февр. 2020 г.

The amount of information delivered and the way it was explained is simply amazing. Thank you!

автор: Shiyan C

6 мар. 2018 г.

Wish we could have an in-depth spark class that cover spark streaming and structure streaming.

автор: Animesh K

17 мар. 2017 г.

Really Awesome course. The instructor is great. Looking forward to more courses from Heather.

автор: Jiri K

7 апр. 2017 г.

Awesome! Perhaps couple of tests would be handy, just a few to have something to start with.

автор: Thomas Z

10 февр. 2018 г.

Good course. Can recommend it for everyone who wants to get into the field of data-science.

автор: CAI X

16 июля 2017 г.

Well explained and demoed . Good introduction to spark, the most useful big data framework!

автор: Vishnu P S

15 мая 2018 г.

The best course. Good lectures with best examples. Thanks a lot for this wonderful course.

автор: Vlad N

3 апр. 2017 г.

Nice topics regarding using partitions for Spark and encoders!! Really interesting course

автор: Korntewin B

27 янв. 2021 г.

Great course for distributed programming. Spark and its RDD concept make our life easier.

автор: Guixin Z

5 апр. 2017 г.

very nice material and organized very well. still amazed what spark can do with the data.


20 окт. 2019 г.

This course allows me to learn so many things about data analysys and Big data modeling.

автор: Anand B

26 дек. 2019 г.

Very Good Course For College students who completed and wants to start professionally.

автор: Shashishekhar D

6 янв. 2018 г.

Simple, Easy to understand. The course has helped me a lot to understand the concepts.

автор: Santiago C

16 янв. 2022 г.

Some of the tests could be a bit more explicit when failing. Otherwise, great course.

автор: Merel C H T

7 июня 2017 г.

I really liked the assignments in this course and all the content was well explained.

автор: Laurent S

2 апр. 2017 г.

Fantastic initiation to Spark. Thanks Heather and the whole team at EPFL & Coursera.

автор: Jean-Francois T

27 мар. 2017 г.

Good material and induction to Spark, good complement of parallel computing in Scala

автор: Patrick M

12 янв. 2018 г.

Been working with Spark since 0.9 and this was still worthwhile. Excellent course.

автор: Amit K

10 апр. 2017 г.

Production quality exercises. Prepares one for working on Spark almost immediately.

автор: Huang P

22 мая 2020 г.

This course is really helpful!!! Good introduction course for Spark sql beginner.

автор: Adel b

16 апр. 2019 г.

Everything was excellent. This was one of the best courses I have attended so far

автор: Arkadiy K

6 авг. 2017 г.

Very good for Scala beginners and students who are entering the world of Big Data

автор: Nicolas D

13 апр. 2017 г.

Amazingly polished and well taught course although being given for the first time

автор: Joseph C A A

7 апр. 2017 г.

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