FEATURED POST
Blog
Welcome to the Tecton blog
Our thoughts on extracting ML signal from the data noise
What is a Feature Store?
Posts
Introducing Low-Latency Streaming Pipelines for Real-Time ML
Intro We’re excited to announce that Tecton now automates low-latency streaming pipelines, to help organizations quickly and reliably build Real-Time ML models. Real-Time ML means that predictions are generated online, at low latency, using real-time data; new events are reflected … Read More
apply() Highlight: How to Use Fast & Fresh Features for Online Predictions
Online inference can significantly increase the impact of a machine learning model by incorporating fresh data. For example, if we’re building product recommendations for an e-commerce site, our model will benefit from information about what other products the user recently … Read More
apply() Highlight: How Feature Logging Enables Real-Time ML
Generating training data for an online, real-time machine learning system can be tricky. In order to guard against temporal data leakage, training events must use only historical features that were valid as of that point in time. This requires effectively … Read More
Real-Time Aggregation Features for Machine Learning (Part 2)
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 Tecton’s implementation which relies entirely on open source technologies … Read More
Real-Time Aggregation Features for Machine Learning (Part 1)
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 of a restaurant to predict the order preparation time of your favorite food delivery service … Read More
apply() Conference Recap
Last month, on April 21 and 22, Tecton hosted apply(): the ML data engineering conference to share the latest best practices in ML data engineering. The conference brought together industry thought leaders and practitioners from over 30 leading organizations and … Read More
Tecton Named Gartner Cool Vendor
We’re excited to announce that Tecton has been named a 2021 Gartner Cool Vendor in Enterprise AI Operationalization and Engineering(1). This is great recognition for Tecton’s vision of solving the data problem for ML by making feature stores accessible to … Read More
Get your models to production
Sign up for the latest from Tecton
Get all the newest content from Tecton directly to your inbox
Contact us
info@tecton.ai 548 Market St San Francisco, CA 94104
Tecton is growing.
Help us build the future of ML.
