Functional Programming with Spark
Spark is a general purpose distributed computing platform, designed to handle both batch and streaming applications. It extends on the map reduce paradigm initially coined by the Google in it's 2004 research paper. It leverages functional programming paradigm for doing the transformations on the datasets residing in cluster's memory.
Matei Zaharia, creator of Spark mentioned the importance of using functional programming language - " At the time we started, I really wanted a PL that supports a language-integrated interface (where people write functions inline, etc) because I thought that was the way people would want to program these applications after seeing research systems that had it .. "
Outline/structure of the Session
- Introduction to Spark
- How Spark builds and manages distributed datasets as Scala collection
- Higher order functions in Spark vs Scala
- Transformations on RDD in Spark using functions
- Dataframes API in Spark
- Typed transformations on Datasets
- Get an overview of Spark, the Big data processing Engine
- Understand why lazy collections need to be functional in nature
- How to optimize iterative algorithms in Big data world
People interested in Big data and functional programming
schedule Submitted 2 months ago
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