From Time Series Data to Specialized Data Management

This session focuses on the evolution of data management from time-series data to specialized data. As IoT, scientific computing, and intelligent systems continue to grow, data management is expanding from classic time-series workloads to more complex data types, including spatiotemporal, gridded, remote sensing, meteorological, log, and multimodal data. The session will discuss the new challenges these data bring to storage, indexing, querying, and unified access, and explore emerging approaches such as format-aware queries, cross-file organization, and database–file system integration.

Speakers:

洪胤 张: Apache IoTDB PMC, PhD student at Tsinghua University

Zhang Hongyin, Apache IoTDB PMC, PhD student of Tsinghua University, is currently responsible for Apache IoTDB memory management, system monitoring, and standardized testing.

泽宇 张: Graduate student at Tsinghua University

Zhang Zeyu, Graduate student of Tsinghua University, is currently focusing on Apache IoTDB agent-friendly system, along with time series model training and reasoning.