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Map, Flatmap and Reduce are Your New Best Friends: Simpler Collections, Concurrency, and Big Data

Chris Richardson (Eventuate)
Computational Thinking
Portland 255
Average rating: *****
(5.00, 4 ratings)
Slides:   external link

Higher-order functions such as map(), flatmap(), filter() and reduce() have their origins in mathematics and ancient functional programming languages such as Lisp. But today they have entered the mainstream and are available in languages such as JavaScript, Scala and Java 8. They are well on their way to becoming an essential part of every developer’s toolbox.

In this talk you will learn how these and other higher-order functions enable you to write simple, expressive and concise code that solve problems in a diverse set of domains. We will describe how you use them to process collections in Java and Scala. You will learn how functional Futures and Rx (Reactive Extensions) Observables simplify concurrent code. We will even talk about how to write big data applications in a functional style using libraries such as Scalding.

Photo of Chris Richardson

Chris Richardson


Chris Richardson is a developer and architect with over 20 years of experience. He is a Java Champion and the author of POJOs in Action, which describes how to build enterprise Java applications with POJOs and frameworks such as Spring and Hibernate. Chris is the founder of the original, an early Java PaaS (Platform-as-a-Service) for Amazon EC2. He spends his time investigating better ways of developing and deploying software. Chris has a computer science degree from the University of Cambridge in England and lives in Oakland, CA.