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Learn how Xiaomi leverages Apache Paimon for efficient data and AI optimization in this 21-minute conference talk from The ASF's Data Lake & Data Warehouse Track. Discover Xiaomi's implementation strategies, architectural decisions, and optimization techniques for managing large-scale data workloads using Apache Paimon's capabilities. Explore real-world use cases, performance improvements, and best practices that Xiaomi has developed while integrating this streaming data lake storage system into their data infrastructure. Gain insights into how Apache Paimon enables efficient data processing, supports both batch and streaming workloads, and facilitates AI optimization workflows at enterprise scale. Understand the technical challenges Xiaomi faced and the solutions they implemented to achieve better data management, improved query performance, and streamlined AI model training processes through Apache Paimon's unified storage layer.
Syllabus
Xiaomi's Efficient Data & AI Optimization with Apache Paimon
Taught by
The ASF