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Introducing Netflix’s TimeSeries Data Abstraction Layer

By Rajiv Shringi, Vinay Chella, Kaidan Fullerton, Oleksii Tkachuk, Joey Lynch As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming, the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital. In previous blog posts, […]

The Problem with Timeseries Data in Machine Learning Feature Systems

Introduction The Feature Systems team at Etsy is responsible for the platform and services through which machine learning (ML) practitioners create, manage and consume feature data for their machine learning models. We recently made new real-time features available through our streaming feature platform, Rivulet, where we return things like “most recent add-to-carts.” While timeseries data […]