The basic principles and concepts behind Spark, as a framework for distributed processing.
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.
The last module focused on transformations, whereas this one focuses on the data side: formats, optimizations, management, etc.
Learn how to take the most of the spark optimizations for free.
Learn the best ways to optimize and organize your Spark code to make it more robust and performant.
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