apply() Highlight: How Feature Logging Enables Real-Time ML

June 17, 2021

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 …

EventsTutorials

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

June 2, 2021

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

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

How to Build a Fraud Model with a Feature Store

April 5, 2021

Many companies with platforms that involve financial transactions are looking to bring them in-house to some degree as they can have more control over the user experience and usually save money on transaction fees over outsourced solutions. While the …

TutorialsFeature Stores