Explore the open-source Hopsworks feature store for Python-centric enterprise data science in this 55-minute webinar from Open Data Science. Learn how to manage features for training and serving models, including native Python support for feature engineering, pipelines, low latency access, online transformation functions, and data validation. Discover a Python-based domain-specific language for joining and retrieving features from data warehouses and lakes without SQL. Follow an end-to-end use case demonstrating the process from raw data to operationalized prediction service. Gain insights into feature store concepts, ML operations, data ingestion, feature pipelines, real-time features, point-in-time correct joins, and incremental training. Witness a live demo of the Hopsworks platform, covering project setup, data preview, feature group activities, training datasets, and an intrusion detection example using log click data.