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Data Meh-sh: Composability over ideology in the data stack // Stephen Bailey // DE4AI 

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//Abstract
Data can't be split into microservices! But teams should own their data! But there should be one definition for metrics! But teams can bring their own architectures! Data platform teams have a tough job: they need to find the right balance between creating reliable data services and decentralizing ownership -- and rarely do off-the-shelf architectures end up working as expected. In this talk, I'll discuss Whatnot's journey to providing a suite of data services -- including machine learning, business intelligence, and real-time analytics tools -- that power product features and business operations. Attendees will walk away with a practical framework for thinking about the maturation of these services, as well as patterns we've seen that make a big difference in increasing our adoption while reducing our maintenance load as we've grown.
//Bio
Stephen Bailey is an engineering manager for the data platforms team at Whatnot, a livestream shopping platform and the fastest-growing marketplace in the U.S. He enjoys all things related to data, and has acted as a data analyst, scientist, and engineer at various points in his career. Stephen earned his PhD in Neuroscience from Vanderbilt University and has a Bachelor's degree in philosophy. When he's not putting one of his four kids in time-out, he writes weird, tech-adjacent content on his blog.
A big thank you to our Premium Sponsors ‪@Databricks‬, ‪@tecton8241‬, & ‪@onehouseHQ‬for their generous support!

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8 окт 2024

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