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Exploring Big Data and Distributed Computation
The chapter discusses the nuances of big data and distributed computation, emphasizing the importance of commutative approaches and functional programming techniques like map, reduce, and filter functions. It explores the advantages and challenges of using pure functions in distributed systems, highlighting considerations like memoization, network failures, and retry strategies.