The Netflix data platform is a massive-scale, cloud-only suite of tools and technologies. It includes big data techs (e.g. Spark, Flink, Presto, and Druid), enabling services (e.g. federated metadata management and data event triggering), and machine learning support (e.g. end-to-end ML workflow infrastructure with notebook integration). But with power comes complexity. I’ll talk through how we are investing towards an easier, “self-service” data platform without sacrificing our enabling capabilities.
In this talk, we will dive into the philosophy, tactics, and technologies behind this transition. E.g.
… and a whole lot more. Join us for lessons learned and key principles to weave into your respective data worlds.
Kurt Brown leads the data platform team at Netflix. This team architects and manages the infrastructure for Netflix analytics, including various big data technologies (e.g. Spark, Flink, and Presto), machine learning infrastructure for Netflix data scientists, and some “traditional” BI tools (e.g. Tableau).
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