How to Build a Feature Store to Petabyte Scale with Spark & Iceberg
Автор: Featureform
Загружено: 2024-10-15
Просмотров: 216
Описание:
The term "Feature Store" often conjures a simplistic idea of a storage place for features. However, in reality, feature stores are powerful frameworks and orchestrators for defining, managing, and deploying data pipelines at scale.
Join Simba Khadder, founder and CEO of Featureform, on October 15th at 8 A.M. PT as he demystifies feature stores, outlining the three distinct types and their roles within a broader ML ecosystem. We’ll explore how feature stores empower data scientists to build and manage their own data pipelines, even at petabyte scale, while efficiently processing streaming data, and maintaining versioning and lineage.
At the end of the session, there will also be time for Q&A.
We hope to see you there!
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