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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Functional Programming in Scala
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Spezialisierung Functional Programming in ScalaÉcole Polytechnique Fédérale de LausanneÜber diesen Kurs
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- Scala Programming
- Big Data
- Apache Spark
- SQL
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Lehrplan - Was Sie in diesem Kurs lernen werden
Getting Started + Spark Basics
Reduction Operations & Distributed Key-Value Pairs
Partitioning and Shuffling
Structured data: SQL, Dataframes, and Datasets
Bewertungen
- 5 stars73,02Â %
- 4 stars21,15Â %
- 3 stars4,37Â %
- 2 stars0,66Â %
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Top-Bewertungen von BIG DATA ANALYSIS WITH SCALA AND SPARK
Excellent course! It's clear the instructor put a ton of thought and hard work into this. I learned a lot that I wouldn't have learned without taking this class. Thank you, Heather!
Dear Heather,
your course on big data with scala is the very first online course I participate in.
I enjoy the way you explain the material and receive a real aesthetic pleasure.
Great introduction to Spark and it's data structures. The course is easy to follow, and lecturer is entertaining and really engaged.
Thanks, I really had fun !
Great course to get going with Apache Spark. Would recommend to someone who has java or scala experience already and wants to learn about distributed processing.
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