Watch a technical conference talk exploring Apache IoTDB's architecture as a distributed time series database, with detailed explanations of its scalable partitioning mechanisms and consensus algorithms. Learn from Xinyu Tan, a database kernel development engineer at Tianmou Technology, as he delves into the core components that enable IoTDB to efficiently handle time series data in distributed environments. Discover how the database implements partitioning strategies to manage large-scale IoT data and maintains consistency through its consensus protocol.
Apache IoTDB - A Distributed Time Series Database with Scalable Partitioning and Consensus Algorithm
Overview
Syllabus
Apache IoTDB : A distributed time series database with scalable partitioning and consensus algorithm
Taught by
The ASF
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