As organizations shift from cloud-first to edge-first strategies, traditional data tools struggle to handle the demands of real-time, distributed data.
EdgeLake — now an open-source project under the Linux Foundation — offers a powerful alternative: a decentralized data platform that simplifies how data is ingested, stored, queried, and managed directly at the edge.

In this session, we’ll introduce EdgeLake as a foundational data tool for edge computing, covering:

- How EdgeLake eliminates the need for centralized cloud pipelines
- How it integrates with analytics and AI tools (Grafana, PowerBI, TensorFlow, etc.)
- How it automates metadata, schema evolution, and secure cross-node queries
- How it enables pushdown processing and federated analytics with minimal overhead
- How it enables AI at the edge
- Real-world examples from smart cities, industrial IoT, and telecom