Spark in Scala

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Module 1: Spark features I: the computational model (4 hours)
The basic principles and concepts behind Spark, as a framework for distributed processing.
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Module 2: Spark features II: Spark APIs (4 hours)
How do we process massive distributed data sets in a cluster? With high-level APIs! We have two major alternative APIs available at your fingertips: statically typed and dynamically typed.
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Module 3: Spark features III: Reading and writing in Spark (4 hours)
The last module focused on transformations, whereas this one focuses on the data side: formats, optimizations, management, etc.
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Module 4: Spark optimizations (4 hours)
Learn how to take the most of the spark optimizations for free.
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Module 5. Best practices on performance & modular design (4 hours)
Learn the best ways to optimize and organize your Spark code to make it more robust and performant.
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Cluster managers: Yarn, Standalone, Mesos