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November 16, 2021 by Eddie Esquivel, Rohit Agrawal
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
November 8, 2021 by Jake Noble
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
October 26, 2021 by Ravi Trivedi
Learn more about Tecton's journey to gaining customer and user trust, from the early days to receiving our SOC 2 Type 2 report.
EngineeringAnnouncements
October 12, 2021 by Mike Saparov
I joined Tecton 4 months ago and would like to share my impressions while they are still fresh! I have spent almost 2 decades in various startups. In seven of them I was Director of Engineering and later VPE in quickly growing startups such as …
EngineeringCompany Culture
August 9, 2021 by Derek Salama
We’re excited to announce that Tecton now automates low-latency streaming pipelines to help organizations quickly and reliably build real-time machine learning models. What is real-time machine learning (ML)? Real-time ML means that predictions are …
Product Updates
August 9, 2021 by Gaetan Castelein
We speak with hundreds of enterprise machine learning teams every year. And we’ve observed a typical pattern for the adoption of machine learning in the enterprise. Not every organization follows the exact same steps, but we’ve seen the pattern …
Operational & Real-Time Machine LearningThought Leadership
July 20, 2021 by Gaetan Castelein
Here we go again! It seems like just yesterday we were hosting the first iteration of apply(). Now back by popular demand, we’re hosting apply(meetup) on August 11th from 9am to 12pm Pacific Time
Events
July 7, 2021 by Derek Salama
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 …
June 17, 2021 by Matt Bleifer
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
June 2, 2021 by Kevin Stumpf, Mike Eastham, Nikhil Simha
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
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 …
May 25, 2021 by Gaetan Castelein
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 …
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