What Is a Feature Platform for Machine Learning?

July 8, 2022 by

Tecton CTO Kevin Stumpf explains in this post the differences between a feature store and feature platform for machine learning.

Operational & Real-Time Machine LearningFeature Platforms

What Is Operational Machine Learning?

May 26, 2022 by

In this post, Kevin Stumpf, CTO of Tecton, describes what operational ML really is and gives practical examples to understand how it works.

Operational & Real-Time Machine LearningThought Leadership

Our Culture and Values

April 18, 2022 by

Before starting Tecton, Mike and I were at Uber for several years. Uber had a unique culture. It motivated people to work hard, move fast, and build a business that impacts millions of people at incredible speed. But it also created an environment …

Company Culture

Building Production-Ready Machine Learning Features on Snowflake with Tecton’s Feature Store

March 26, 2022 by ,

We are excited to announce the integration of Tecton’s enterprise feature store and Feast, the popular open source feature store, with Snowflake. The integration, available in preview to all Snowflake customers on AWS, will enable data teams to …

Partners & IntegrationsAnnouncements

2021 at Tecton: A Year in Review

December 29, 2021 by

2021 is a wrap, and what a year it has been! As we head into the New Year, I want to take a look back at what we’ve accomplished this year and share with you some of the things I expect for 2022. Tecton has experienced a huge amount of growth this …

Company CultureThought Leadership

Real-Time Aggregation Features for Machine Learning (Part 2)

June 2, 2021 by , ,

In the following sections, we describe an approach to solving these challenges that we’ve proven out at scale at Tecton, and that has been used successfully in production at Airbnb and Uber for several years. The discussed approach explains …

TutorialsEngineering

Real-Time Aggregation Features for Machine Learning (Part 1)

June 2, 2021 by , ,

Machine Learning features are derived from an organization’s raw data and provide a signal to an ML model. A very common type of feature transformation is a rolling time window aggregation. For example, you may use the rolling 30-minute order count …

TutorialsEngineering

Data Software-as-a-Service: The Case for a Hybrid Deployment Architecture

March 17, 2021 by

Lior Gavish & Kevin Stumpf As founders of companies that build solutions designed to help teams deliver on the promise of data, we knew we wanted to build great products that are easy to deploy and manage for our customers.  We also knew …

Thought Leadership

Why We Need DevOps for ML Data

April 28, 2020 by

Getting machine learning (ML) into production is hard. In fact, it’s possibly an order of magnitude harder than getting traditional software deployed. As a result, most ML projects never see the light of production-day and many organizations simply …

Thought Leadership