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Building feature stores on Snowflake

Posted Jan 06
# Feature Stores
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SPEAKER
Miles Adkins
Miles Adkins
Miles Adkins
Partner Sales Engineer, AI & ML @ Snowflake

Miles is a Partner Sales Engineer at Snowflake and leads the technical go-to-market and product integration strategy for Snowflake's machine learning and data science partners. Miles has spent the entirety of his career in data science and sales engineering positions and specializes in financial markets and technology industries.

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Miles is a Partner Sales Engineer at Snowflake and leads the technical go-to-market and product integration strategy for Snowflake's machine learning and data science partners. Miles has spent the entirety of his career in data science and sales engineering positions and specializes in financial markets and technology industries.

+ Read More
SUMMARY

Feature Stores cant exist without the underlying compute and storage platforms that they orchestrate. While there are many different options to choose from in the field today, there are several decisions that need to be made to ensure scalability, reliability, and performance, to a name a few.Snowflake, the Data Cloud, is a cloud agnostic data platform that offers many of the core value proposition as a traditional warehouse might, but with additional capabilities around data sharing, unstructured and semi-structured data support, and of course limitless scalability to meet the demands of your machine learning workloads.

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