This will be a practical session explaining how Better.com uses Feast in a Ranking System that depends on multiple data sources and several models. We’ll provide a walkthrough of several architectures we considered as a team to manage features, …
The Data Engineering Lifecycle
Data engineering is finally emerging from the shadows as a key driver of data science and analytics. But what is it? This talk covers what modern data engineering is and why it matters. A core concept, the data engineering lifecycle – will be …
Data Transfer Challenges In Evaluating MLOps Platforms
Customers evaluating MLOps platforms as a service need to provide customer data during the evaluation phase. The data often needs to be moved to the MLOps companies’ warehouses. This is not a simple task and can become costly if the two partners are …
Data Engineering Isn’t Like Software Engineering
There’s often a push for data engineers and data scientists to adopt every pattern that software engineers use. But adopting things that are successful in one domain without understanding how it applies to another domain can lead to “cargo cult” type …
Using Redis as your Online Feature Store: 2021 highlights & 2022 directions
With the growing business demand for real-time predictions, we are witnessing companies making investments in modernizing their data architectures to support online inference. When companies need to deliver real-time ML applications to support …
A Tour of Features in the Wild and a Modern Solution to Manage Them
Mike will kick off the event and present his views on the different types of features commonly used for Operational ML use cases, and solutions to manage them. Operational ML models rely on several types of features with different characteristics …
Building feature stores on Snowflake
Feature Stores cant exist without the underlying compute and storage platforms that they orchestrate. While there are many different options to choose from in the field today, there are several decisions that need to be made to ensure scalability, …
What Data Engineers Should Know About Real-Time Analytics
Online Personalization is powered by a real-time feature engineering platform that ingests, processes, and joins millions of events per minute. We present the architecture that manages the real-time feature engineering platform at Personalization. …
Model Calibration in the Etsy Ads Marketplace
When displaying relevant first-party ads to buyers in the Etsy marketplace, ads are ranked using a combination of outputs from ML models. The relevance of ads displayed to buyers and costs charged to sellers are highly sensitive to the output …
High Performance Feature Serving with Feast on AWS
In this lightning talk we will showcase how teams can deploy and productionize a feature store on AWS with Feast. We will demonstrate how users can train a machine learning model using historical features from Redshift, deploy the model into …
