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Big Data Analysis with Scala and Spark(으)로 돌아가기

로잔연방공과대학교의 Big Data Analysis with Scala and Spark 학습자 리뷰 및 피드백

4.7
별점
2,456개의 평가
508개의 리뷰

강좌 소개

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....

최상위 리뷰

BP
2019년 11월 28일

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
2017년 6월 7일

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!

필터링 기준:

Big Data Analysis with Scala and Spark의 491개 리뷰 중 151~175

교육 기관: Shiyan C

2018년 3월 6일

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

교육 기관: Animesh K

2017년 3월 17일

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

교육 기관: Jiri K

2017년 4월 7일

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

교육 기관: Thomas Z

2018년 2월 10일

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

교육 기관: CAI X

2017년 7월 16일

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

교육 기관: Vishnu P

2018년 5월 15일

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

교육 기관: Vlad N

2017년 4월 3일

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

교육 기관: Korntewin B

2021년 1월 27일

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

교육 기관: Guixin Z

2017년 4월 5일

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

교육 기관: YEHOUENOU

2019년 10월 20일

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

교육 기관: Anand B

2019년 12월 26일

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

교육 기관: Shashishekhar D

2018년 1월 6일

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

교육 기관: Santiago C

2021년 3월 30일

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

교육 기관: Merel C H T

2017년 6월 7일

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

교육 기관: Laurent S

2017년 4월 2일

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

교육 기관: Jean-Francois T

2017년 3월 27일

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

교육 기관: Patrick

2018년 1월 12일

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

교육 기관: Amit K

2017년 4월 10일

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

교육 기관: Huang P

2020년 5월 22일

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

교육 기관: BOUDRAHEM

2019년 4월 16일

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

교육 기관: Аркадий К

2017년 8월 6일

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

교육 기관: Nicolas D

2017년 4월 13일

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

교육 기관: Joseph C A A

2017년 4월 7일

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

교육 기관: Симкин И М

2019년 3월 10일

Perfectly. Very competent teacher and good tasks. Requires knowledge of scala.

교육 기관: Javier R C

2017년 6월 30일

Great introduction to Spark. Very interesting lectures, slides and assignments