Speaking Data: Simple, Functional Programming with Clojure

Developers today face an explosion of complexity—data in myriad forms pulled from many sources, complex dependency webs, and a need to maximize use of modern multi-core hardware in cloud based systems. Many such efforts devolve into cobbled together mismatched abstractions that involve seemingly endless transformations from one form to another.

While libraries and infrastructure adapt to meet feature-level needs, they largely fail to address the core issue: incidental complexity. The kind of complexity that hinders development, blows timelines, and undermines stability. The kind of complexity that distracts from delivering real, measurable value. Clojure is a language built to enable developers to attack incidental complexity in their systems, through its use of immutable data structures, pure function transformations, and the separation of state and identity.

Drawing from both expert design principles and real-world use cases, Paul deGrandis will illustrate the “value of values” and explore how Clojure’s core principles of Simplicity, Power, and Focus enable developers to reduce complexity—both essential and incidental— to functional simplicity.

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