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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

2,548개의 평가

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:

최상위 리뷰


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!


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.

필터링 기준:

Big Data Analysis with Scala and Spark의 506개 리뷰 중 251~275

교육 기관: Devaki B

2017년 4월 15일

It was good. Got indepth knowledge of Spark API

교육 기관: Harshad H

2019년 10월 30일

Best Course for Big Data Learning in the World

교육 기관: David F S

2019년 1월 14일

Very informative. Well-organized presentation.

교육 기관: Husain K

2017년 5월 7일

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

교육 기관: samy k

2017년 3월 21일

Interesting and challenging course! Thank You!

교육 기관: Robert M

2019년 2월 11일

Excellent videos, explanation, and resources!

교육 기관: shubham m

2018년 7월 10일

good but give more practical of small program

교육 기관: abdhesh

2017년 12월 31일

It was an awesome and well explained course.

교육 기관: Jeroen M

2017년 4월 9일

Great course, well explained, instant value!

교육 기관: Hong C

2020년 4월 14일

A perfect resource to get start with Spark.

교육 기관: Denis L

2018년 12월 5일

Very nice, but a little bit outdated course

교육 기관: Wang Z

2019년 10월 30일

The lecture is well-organized

and excellent

교육 기관: Muhammad B

2020년 6월 10일

Very brilliant instructor, learned a lot.

교육 기관: Arnaud J

2017년 6월 2일

Great course. Would definitely recommend.

교육 기관: Daniel D

2017년 4월 20일

Great course - well prepared by the team.

교육 기관: Olivier L

2019년 11월 29일

Very well explained, a very well teacher

교육 기관: Marc K

2018년 9월 8일

Great course explained with great detail

교육 기관: Joaquin D R

2019년 9월 25일

Incredible tutorial!!!!!!!!!! I love it

교육 기관: jiajie

2017년 7월 8일

Learn a lot things about spark. Thanks!

교육 기관: César A

2017년 3월 29일

Excellent course. Fun and entertaining.

교육 기관: Hari K N

2020년 7월 22일

It's an overall great learning session

교육 기관: Varlamova E

2019년 3월 10일

It was amazing!!! Very useful course!

교육 기관: Msellek A

2019년 1월 26일

Great course ! Thanks for the effort

교육 기관: Jose M N

2018년 5월 28일

Great course. Thanks for everything.

교육 기관: Srinivasa R M

2017년 9월 13일

Very nice explanation with examples.