🚀*New Feature: AI Lake Public Interface for Data Ingestion* We're excited to introduce the AI Lake public interface for data ingestion, allowing customers to write data directly into AI Lake using their own pipelines and standard Apache Iceberg tools. What's New? 1. Standard Iceberg REST Catalog: Implements the Apache Iceberg REST Catalog, making it compatible with many existing data tools, and validated with PyIceberg and Apache Spark. 2. Direct data ingestion: Data lands directly in AWS S3 Tables via remote signing, with a high-performance StarRocks engine serving analytical queries. 3. Completes the integration story: Builds on the previously released REST API for provisioning database instances, rounding out AI Lake's customer data integration. Key Benefits • Use your existing pipelines and Iceberg tooling to bring data into AI Lake-no need for direct AWS access. • A solid path for customers migrating from the legacy platform, replacing its data marts. • Built on open Iceberg format, keeping you in control of your data with reduced vendor lock-in. 🎥*Demo:* See it in action 📄*Docs:* Here Have questions or feedback? Drop them below! 👇