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Learn to construct a cloud-native Lakehouse architecture using Apache Iceberg, Apache Amoro, and Apache Gravitino within Tencent Cloud infrastructure in this 36-minute conference talk. Discover how to leverage these open-source technologies to build a modern data platform that combines the best features of data lakes and data warehouses. Explore the integration patterns and architectural decisions needed to implement a scalable, cloud-native solution that can handle both structured and unstructured data workloads. Gain insights from a Tencent software engineer and Apache Amoro PPMC member on practical implementation strategies, performance considerations, and best practices for deploying this technology stack in production environments. Understand how Apache Iceberg's table format capabilities, Amoro's lakehouse management features, and Gravitino's metadata management work together to create a unified data platform that supports both analytical and operational workloads at enterprise scale.
