This collection encompasses various documents focused on the integration and application of Apache Iceberg with real-time data processing technologies. Topics include the construction of data pipelines using Apache Flink, Kafka, NiFi, and machine learning tools to enhance urban transit and IoT applications. The materials also cover advancements in generative AI, data streaming solutions like Ursa, and best practices for data management and governance. Overall, the content highlights innovative approaches to handle high-volume data streams in dynamic environments.