Optimizing Feature Materialization Costs in a CI/CD Environment

September 18, 2023 by

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.

TutorialsFeature Platforms

How to Integrate With Tecton

March 29, 2023 by

Learn how to seamlessly integrate your existing data infrastructure with Tecton to leverage powerful feature platform capabilities.

TutorialsIntegrations

Production Machine Learning Application in 15 Minutes With Tecton and Databricks

August 4, 2022 by

Getting ML systems into production has always been (and still is) challenging. Learn how to use Tecton and Databricks to overcome those challenges and build an MVP for a real-time ML system in 15 minutes.

Partners & IntegrationsTutorials

How to Use Snowflake With Tecton

March 23, 2022 by

You want to build production machine learning on top of Snowflake. So how do you do that?  If you’re a Snowflake user who wants to put machine learning into production, great news — we recently announced that Tecton is introducing …

Partners & IntegrationsTutorials

Put Hugging Face Embeddings Into Production With Tecton

March 3, 2022 by

Embeddings have proven to be some of the most important features used in machine learning, enabling machine learning algorithms to learn efficient representations of complex data. Many embeddings,  in particular embeddings of audio, text or …

Tutorials

Serving 100,000 feature vectors per second with Tecton and DynamoDB

November 16, 2021 by ,

There is a class of Machine Learning models that require real-time data to make predictions – the process by which these models make predictions is known as Online Inference. Examples of these types of models are models that detect fraudulent …

TutorialsPartners & Integrations

Introducing Array Type Features

November 8, 2021 by

We’re excited to announce that Tecton now natively supports Array type features. Our customers are now deploying array features in operational machine learning models. In this article, we’ll go through (1) how arrays are commonly used in …

Tutorials

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

June 17, 2021 by

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 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

How to Build a Fraud Model With a Feature Store

April 5, 2021 by

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