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Programming Models: Overview and Examples
This lecture covers different programming models for big data processing, comparing MapReduce with more powerful models like Spark and Dryad. It explains the concepts of DAGs, declarative languages, functional programming, and domain-specific languages. The presentation also delves into Spark's RDDs, actions, transformations, lazy evaluation, and optimizations. Additionally, it discusses the design choices of big data systems regarding storage, programming models, execution engines, resource management, and fault tolerance.
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