feature store – Page 2 – Andrew Fairless, Ph.D.

What I Read: Feature Store vs Data Warehouse

By Andrew Fairless on February 25, 2021February 18, 2021

https://www.logicalclocks.com/blog/feature-store-vs-data-warehouse ML Engineer Guide: Feature Store vs Data WarehouseOctober 8, 2020ML Best Practicesby Jim Dowling “The feature store is a data warehouse of features for machine learning (ML). Architecturally, itContinue readingWhat I Read: Feature Store vs Data Warehouse

What I Read: Building a Gigascale ML Feature Store

By Andrew Fairless on February 18, 2021January 18, 2021

https://doordash.engineering/2020/11/19/building-a-gigascale-ml-feature-store-with-redis/ Building a Gigascale ML Feature Store with Redis, Binary Serialization, String Hashing, and CompressionNovember 19, 2020 21 Minute Read Data, Machine Learning 36Arbaz Khan Zohaib Sibte Hassan “When aContinue readingWhat I Read: Building a Gigascale ML Feature Store

What I Read: Architectures for Modern Data Infrastructure

By Andrew Fairless on February 4, 2021January 10, 2021

https://a16z.com/2020/10/15/the-emerging-architectures-for-modern-data-infrastructure/ Emerging Architectures for Modern Data Infrastructureby Matt Bornstein, Martin Casado, and Jennifer Li “We’re now starting to see the rise of massive, complex systems built around data – whereContinue readingWhat I Read: Architectures for Modern Data Infrastructure

What I Read: Best Practices for Building Machine Learning at Scale

By Andrew Fairless on January 24, 2021December 30, 2020

https://medium.com/dataseries/linkedins-pro-ml-architecture-summarizes-best-practices-for-building-machine-learning-at-scale-77fcb6afc9ec LinkedIn’s Pro-ML Architecture Summarizes Best Practices for Building Machine Learning at ScaleThe reference architecture is powering mission critical machine learning workflows within LinkedIn.Jesus RodriguezSep 17 “Building machine learning solutionsContinue readingWhat I Read: Best Practices for Building Machine Learning at Scale

What I Read: Feature Management

By Andrew Fairless on December 25, 2020December 13, 2020

https://medium.com/@jrodthoughts/the-architecture-used-at-linkedin-to-improve-feature-management-in-machine-learning-models-c7bd6ae54db The Architecture Used at LinkedIn to Improve Feature Management in Machine Learning ModelsThe new typed feature schema streamlined the reusability of features across thousands of machine learning models.Jesus RodriguezAprContinue readingWhat I Read: Feature Management

What I Read: DevOps for ML Data

By Andrew Fairless on December 23, 2020December 10, 2020

https://tecton.ai/blog/devops-ml-data/ Why We Need DevOps for ML DataPosted by Kevin Stumpf on April 28, 2020 “Unfortunately, most tools under the MLOps banner tend to focus only on workflows around theContinue readingWhat I Read: DevOps for ML Data

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