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Tuesday, August 18 • 3:20pm - 4:00pm
Scala data pipelines at Spotify

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This talk takes the audience through a brief history of music recommendation pipelines at Spotify. We'll present how we moved from a mostly Python shop to mostly Scala for data science, the lessons learned, and where we are going next. We'll also dig a bit into the technical details of scaling music recommendation algorithms in Scala.

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 Parquet. Before that he worked on search quality at Yahoo! and old school distributed systems like MPI.


Tuesday August 18, 2015 3:20pm - 4:00pm
Track A

Attendees (25)