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Nick Acosta

Nick Acosta enjoys helping developers automate feature pipelines as a Developer Advocate at Tecton, a feature platform for real-time machine learning. Nick has previously led Developer Relations teams at Fivetran and IBM. He has Computer Science degrees from Purdue University and the University of Southern California.

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Optimizing Feature Materialization Costs in a CI/CD Environment

September 18, 2023 by Nick Acosta

Managing dev/test/prod environments for a feature store/feature platform can come with some unique considerations, especially when trying to control costs. Read about Tecton's best practices in this area in this post.

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Integrating Tecton With Google Cloud Platform

July 25, 2023 by Nick Acosta

Tecton and Google Cloud Platform (GCP) just announced the availability of the Tecton feature platform on Google Cloud. Tecton provides a fully managed way to build and orchestrate the complete lifecycle of features, from transformation to online …

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Request a Demo

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

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Request a free trial

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

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Contact Sales

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

CTA button