• Start Time:
    03:00PM
  • End Time:
    03:30PM
  • Day:
    Day 2

Talk:

In this talk we will introduce zipline, a feature engineering framework developed at airbnb to help data scientists take features to production – safely and quickly.
Zipline is used to
a.) Generate point-in-time correct feature backfills for model training with high efficiency,
b.) Generate online feature serving pipelines that can serve realtime feature aggregates with high availability, while also guaranteeing online-offline consistency.
c.) Incorporate Change Data Streams into features for sub-second data freshness

Associated Speakers:

Nikhil Simha

Software Engineer

Airbnb

Associated Talks:

03:00PM - Day 2

View Zipline: A declarative feature engineering framework

View Full Info

Pengyu Hou

Software Engineer

Airbnb

Associated Talks:

03:00PM - Day 2

View Zipline: A declarative feature engineering framework

View Full Info

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