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Thursday, November 16 • 2:10pm - 2:50pm
Featran77 - Generic Feature Transformer for Data Pipelines

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Featran, a.k.a. Feature Transformer, Featran77 or F77, is a generic feature engineering library for Scala data pipeline frameworks, including Scio, Spark, Scalding and Flink. We'll talk about the design and implementation of the library, including uses of Algebird Semigroups, Aggregators, Breeze, and Scalacheck. We'll also cover other relevant topics that makes our data/ML pipelines scalable and type safe.
Speakers
avatar for Neville Li

Neville Li

Software Engineer, Spotify
Neville is a software engineer at Spotify who works mainly on data infrastructure and tools for machine learning and advanced analytics. In the past few years he has been driving the adoption of Scala and new data tools for music recommendation, including Scalding, Spark, Storm and... Read More →

Thursday November 16, 2017 2:10pm - 2:50pm PST
Data
  Data

Attendees (35)