Topic: Bridging Lake and Database: The Technology Behind Apache Doris Real-time Queries on Iceberg

Description: The convergence of Data Lakes and Databases has become an inevitable trend in modern data infrastructure. While Data Lakes provide open, cost-efficient, and scalable storage, Databases excel in query performance, concurrency, and usability. The key challenge is how to combine the strengths of both worlds to achieve flexible yet high-performance real-time queriesa problem that is attracting growing industry attention.In this talk, We will deep-dive into how Apache Doris supports real-time queries on Iceberg tables, covering:

• The background and industry trend of Data LakeDatabase convergence
• How Apache Doris integrates with Iceberg at the architectural level
• The core techniques behind Doriss real-time query engine: vectorized execution, smart caching and materialized view, etc.
• Typical real-world use cases and performance benchmarks of Doris on Iceberg
• A forward-looking perspective on the evolution of the Data Lakehouse ecosystem

By the end of this session, you will understand how Apache Doris empowers organizations to run low-latency, high-concurrency analytics directly on Data Lakes, and gain insights into the latest trends in data architecture.

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