Building an Enterprise-Scale Feature Store with Featureform and Databricks

In today's data-driven world, efficiently managing and utilizing features at scale is crucial for any enterprise. Join Featureform's founder, Simba Khadder, for a one-hour webinar on July 23rd at 8 A.M. PT, where he will demonstrate how to build an enterprise-scale feature store using the powerful combination of Featureform and Databricks!

What You Will Learn:

• Introduction to Featureform: Understand how Featureform simplifies feature engineering, making it easier to transform raw data into meaningful features that drive machine learning models.
• Leveraging Databricks: Discover how Databricks' Data Intelligence Platform can integrate seamlessly with Featureform, providing a robust infrastructure for scalable and efficient data processing.
• Building a Feature Store: Guidance on setting up a feature store that can handle the complexities of enterprise-scale data.
• Best Practices: Learn industry best practices for managing and maintaining your feature store to ensure high performance and reliability.
• Real-World Use Cases: Explore real-world examples of how leading enterprises are utilizing Featureform and Databricks to enhance their machine-learning capabilities.

Toward the end of the session, there will also be time for Q&A.

Who Should Attend:

• Data Engineers
• Data Scientists
• Machine Learning Engineers
• AI/ML Enthusiasts

Why Attend:

• Gain practical insights into building and scaling feature stores.
• Learn from experts with hands-on experience in using Featureform and Databricks.
• Enhance your understanding of modern data engineering and machine learning practices.

Featureform is a virtual feature store that enables data scientists to define, manage, and serve their ML model's features. It sits atop existing infrastructure, transforming it into a traditional feature store. Using Featureform, data science teams can enhance collaboration, organize experimentation, facilitate deployment, increase reliability, and ensure compliance. It allows standardized definitions of transformations, features, labels, and training sets, making them easily shareable and understandable across teams. Additionally, Featureform is designed to work with individual data scientists and large enterprise teams, providing a centralized repository for machine learning resources.
Check out our open-source Feature Store here: https://github.com/featureform/featureform

Event Venue

Online