Watch a technical conference talk exploring Apache IoTDB's architecture as a distributed time series database, with detailed explanations of its scalable partitioning capabilities and consensus algorithm implementation. Learn from Xinyu Tan, a database kernel development engineer at Tianmou Technology, as he breaks down the core components that enable IoTDB to efficiently handle time series data in distributed environments. Discover how the database's partitioning strategy and consensus mechanisms work together to provide reliable data storage and processing for IoT applications.
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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