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Big Data Analysis with Scala and Spark に戻る

スイス連邦工科大学ローザンヌ校(École Polytechnique Fédérale de Lausanne) による Big Data Analysis with Scala and Spark の受講者のレビューおよびフィードバック



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:




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.



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!


Big Data Analysis with Scala and Spark: 201 - 225 / 506 レビュー

by Kyle A


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

by Khaled J A


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

by Carlos S


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

by Martin P


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

Thanks Heather!

by Martin M


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

by Vishwanath G


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

by Milorad T


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

by Johan R


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

by Eike H


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

by Gao Y


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

by Yogen R


Excellent course materials and concepts explanation by Heather!

by Navjinder V


Great Course content with amazing and challenging assignments!

by lu


A good introduction to Scala programming in Spark environment.

by Gary Z


Best Spark Scala course! Clear explanation! Thanks Dr. Heather

by Janis S


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

by Konrad C


A lot things to learn and experiment.

Challenging assignments.

by Natalija I


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

by Deleted A


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

by Parker G


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

by Carsten I


Excellent class, very well stuctured, clear and informative.

by Murat A


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

by Manoj K


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

by Sivakumar P


Course is very useful to understand Spark and Scala things.

by Giang N


G​reat assigments make me work hard to earn perfect points

by Ravishankar N N


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