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June 10–13, 2024
San Francisco
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SESSION


STRANGER TRIUMPHS: AUTOMATING SPARK UPGRADES & MIGRATIONS AT NETFLIX


OVERVIEW

EXPERIENCEIn PersonTYPEBreakoutTRACKData Engineering and
StreamingINDUSTRYEnterprise Technology, Media and
EntertainmentTECHNOLOGIESApache Spark, ETL, OrchestrationSKILL
LEVELIntermediateDURATION40

With Apache Spark™ 4 in the pipeline for this year, many of us are looking at
what will be involved in upgrading to the latest and greatest Spark – not to
mention the ever-evolving world of AI libraries. This talk examines how Netflix
has automated large parts of our upgrade and how you can use these techniques
for your data platform. We will share:

 

 * Our cool open source tools that rewrite Spark code
 * Our tools for testing Spark jobs in production
 * How we track the state of jobs
 * Re-using those same tools to migrate to a containerized environment
 * User experiences

 

In this session, you will learn how to: upgrade your Spark pipelines without
crying and validate Spark pipelines even when you don't trust the tests (by
extending the write-audit-publish pattern). This talk is ideal for Data
scientists, ML engineers, and anyone who's inherited legacy data products
platform engineers managing Spark infrastructure.


SESSION SPEAKERS


HOLDEN KARAU

/Engineer
Netflix / Totally Legit Co


ROBERT MORCK

/Software engineer
Netflix

Organized by
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Apache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache
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