Tecton

Blog: Page 13

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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 …

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 …

apply() Conference Recap

May 25, 2021

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 …

Tecton Named Gartner Cool Vendor

May 18, 2021

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 …

Announcing Feast 0.10

April 15, 2021

Learn the differences between Tecton, a fully managed feature platform, and Feast, an open source feature store. Today, we’re announcing Feast 0.10, an important milestone towards our vision for a lightweight feature store.  Feast is an open …

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 …

Announcing apply()’s Speaker Lineup

March 31, 2021

Tecton is hosting apply(): the ML Data Engineering conference on April 21 and 22, bringing together industry thought leaders and practitioners from over 30 organizations to share and discuss the current and future state of ML data engineering. This …

How Machine Learning Teams Share and Reuse Features

March 29, 2021

What does an “ML-enabled” company look like? The companies that come to mind, like Uber, Twitter, or Google, have tens of thousands of machine learning (ML) models in production. They use these models to make intelligent predictions across the …

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

March 17, 2021

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 …

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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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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

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

CTA button