Webinar 5: Use Case from Ebay: Feature Powered by Apache Beam – Beyond Lambda

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Register via this link:
https://learn.xnextcon.com/event/eventdetails/W20060310

Talk: Feature Powered by Apache Beam – Beyond Lambda by Feng Kobe, eBay

Abstract:
In this session we will learn how eBay builds feature pipelines with Apache Beam to unify feature extraction and selection in online and offline, to speedup E2E iteration for model training, evaluation and serving, to support different types (streaming, runtime, batch) of features, etc. eBay leverages Apache Beam for their streaming feature SDK as a foundation to integrate with Kafka, Hadoop, Flink, Airflow and others in eBay.

Start date/time: June 3, 10AM PT / 1PM ET

RSVP: https://learn.xnextcon.com/event/eventdetails/W20060310

Links to the recordings, slides and source files will be published here: https://github.com/aijamalnk/beam-learning-month

Speaker bio:
I’m a technology evangelist for big data open source in eBay, from distributed crawl system, behavior data sessionization and bot detection with map reduce to spark as analyst development optimize platform for ETL, from storm lambda based application to beam event time based streaming system. I’m also hands on web dev from mvc to event sourcing, domain driven in my earlier career. I believe creative ideas come out from diversity, discussion and colorful life.

This is the 5th session of the series. There will be 1 last webinar next Wednesday at 10am PST.

Webinar 6: Distributed Processing for Machine Learning Production Pipelines with Apache Beam: RSVP: https://learn.xnextcon.com/event/eventdetails/W20061010