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dbaplus Community
dbaplus Community
Feb 23, 2022 · Big Data

Inside OPPO’s Real‑Time Computing Platform: Architecture, Practices, and Future Roadmap

This article details OPPO’s real‑time computing platform, covering its business scope, big‑data architecture built on Flink, Spark and Trino, the end‑to‑end job development lifecycle, SQL IDE features, diagnostic and monitoring mechanisms, link latency tracking, SLA guarantees, practical use cases, and upcoming lakehouse and cloud‑native evolution.

FlinkReal‑Time Computingbig data platform
0 likes · 23 min read
Inside OPPO’s Real‑Time Computing Platform: Architecture, Practices, and Future Roadmap
DataFunTalk
DataFunTalk
Dec 19, 2021 · Big Data

OPPO Real-Time Computing Platform Architecture and Practices

This article details OPPO’s real-time computing platform architecture, covering its background, open‑source and self‑developed components, job lifecycle, SQL IDE, diagnostic and monitoring mechanisms, SLA guarantees, practical applications such as real‑time warehousing and dashboards, and future plans for lakehouse integration and cloud‑native deployment.

Flinkcloud-nativejob monitoring
0 likes · 20 min read
OPPO Real-Time Computing Platform Architecture and Practices
58 Tech
58 Tech
Dec 23, 2019 · Operations

Intelligent Duty Robot for Real‑Estate Data Job Monitoring and Automation

The article describes an intelligent duty robot that uses a sense‑think‑act framework and job dependency graphs to automatically monitor, diagnose, and remediate data pipeline jobs in a real‑estate platform, reducing operational pressure and achieving over 98% notification accuracy.

Operational EfficiencyReal Estate Dataautomation
0 likes · 9 min read
Intelligent Duty Robot for Real‑Estate Data Job Monitoring and Automation