In this talk, we will explore how the open-source Hopsworks feature store can help Data Scientists who love Python to manage their features for training and serving models. Hopsworks provides native Python support for feature engineering, feature pipelines, low latency access to features for serving, online transformation functions, and data validation.
Hopsworks also supports a Python-based domain-specific language for joining and retrieving features from Data Warehouses and Data Lakes, freeing you from having to write SQL to access enterprise data. We will walk through an end-to-end use case in Python showing you how to go from raw data to an operationalized prediction service.
The modern data team consists of Data Engineers, Data Scientists, Machine Learning Engineers, and Business Analysts, but effective collaboration is challenging. In this talk we will show how a centralized data platform helps solve these issues.
Hopsworks Feature Store is available both on AWS and Azure as a managed platform.
You can register for free, without having to enter payment details.