Traditional edge data processing relies on transferring massive data volumes to the cloud, causing high latency and costs. EdgeLake, a new LF Edge project, enables Data Service Networks (DSNs), bringing data processing to the edge. This reduces cloud dependency, lowers latency, and enhances data sovereignty. In this talk, we’ll explore how EdgeLake transformed the city of Sabetha, Kansas, into a smart city, showcasing a live demo of distributed edge data serviced directly at the edge, eliminating the need for cloud reliance.

Key Points:

1. Challenges with Traditional Data Processing – High latency, costs, and scalability issues with cloud-centric approaches.
2. Introduction to EdgeLake – DSNs shift focus to edge-based data services, reducing cloud dependency.
3. Real-World Use Case – Sabetha, Kansas – Transformation into a smart city using EdgeLake.
4. Live Demo – Showcasing EdgeLake’s capability to process and service distributed edge data locally.
5. Benefits of DSNs – Reduced cloud costs, real-time data access, and enhanced data sovereignty.

EdgeLake empowers edge-first data services, driving efficient, low-latency data processing directly at the edge.