Unlocking data-driven systems
Paul deGrandis at Clojure/conj 2014
It is becoming increasingly common to see Clojure-based systems express their primary interactions with data (e.g. Datomic queries) - but what's the rationale?
This talk analyzes the merits of that design decision, the qualities that emerge, and the tips for implementing similar systems of your own. To motivate the topic, we will walk through a Consumer Reports' pilot project that stretched the concept across an entire stack - Pedestal services, Datomic ETL jobs, and even entire ClojureScript applications all expressed as data. With a heavy mix of core.async and core.logic, let's see just how far the rabbit hole goes!
Paul deGrandis lives for magnificent engineering. Elegant, well-founded, useful solutions to problems that say something about engineering's beauty. He loves metrics, taking on the impossible, and making lives better through technology. Paul has previously worked on next-generation cable systems, autonomous internet infrastructure, distributed search and recommendation engines, massive online social game platforms, and more.
This talk analyzes the merits of that design decision, the qualities that emerge, and the tips for implementing similar systems of your own. To motivate the topic, we will walk through a Consumer Reports' pilot project that stretched the concept across an entire stack - Pedestal services, Datomic ETL jobs, and even entire ClojureScript applications all expressed as data. With a heavy mix of core.async and core.logic, let's see just how far the rabbit hole goes!
Paul deGrandis lives for magnificent engineering. Elegant, well-founded, useful solutions to problems that say something about engineering's beauty. He loves metrics, taking on the impossible, and making lives better through technology. Paul has previously worked on next-generation cable systems, autonomous internet infrastructure, distributed search and recommendation engines, massive online social game platforms, and more.