The Netflix data platform is a massive-scale, cloud-only suite of tools and technologies. It includes big data tech (Spark, Flink, Presto, and Druid), enabling services (federated metadata management and data event triggering), and machine learning support (end-to-end ML workflow infrastructure with notebook integration). But with power comes complexity.
Kurt Brown explains how Netflix is working toward an easier, “self-service” data platform without sacrificing any enabling capabilities, diving into the philosophy, tactics, and technologies behind this transition. Join in to explore lessons learned and key principles to weave into your respective data worlds.
Kurt Brown leads the data platform team at Netflix, which architects and manages the technical infrastructure underpinning the company’s analytics, including various big data technologies like Hadoop, Spark, and Presto, machine learning infrastructure for Netflix data scientists, and traditional BI tools including Tableau.
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