Ant TuGraph Computing Engine Architecture and Applications
Ant TuGraph’s open‑source graph computing engine, led by Fang Zhihong, will be introduced covering its development history, architectural design, technical principles, integrated stream‑batch‑graph processing capabilities, real‑world large‑scale graph use cases, and future roadmap, offering insights into design, implementation, and value.
Speaker: Fang Zhihong – Ant Group Open‑Source Graph Computing Lead.
Personal Introduction: Fang is responsible for the open‑source evolution, community operation, and commercialization of TuGraph. He previously worked at Tencent, Alibaba Cloud, and Ant, focusing on big‑data platforms, cloud databases, and graph computing, with extensive experience in distributed computing, data security, data middle‑platform architecture, and open‑source advocacy.
Talk Title: Ant TuGraph Computing Engine Architecture and Applications
Talk Outline:
● Development history and construction background of Ant TuGraph computing engine.
● Architectural design and technical principles of the TuGraph engine.
● Application scenarios and construction roadmap for the TuGraph engine.
Audience Benefits:
● Understanding the design, implementation, and value of the TuGraph graph computing engine.
● Learning how to achieve integrated stream, batch, and graph processing capabilities.
● Exploring typical large‑scale graph computing use cases and future considerations.
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