OPPO’s Real‑Time Data Warehouse Construction with Apache Flink
The article summarizes a 2019 Apache Flink Meetup in Shenzhen where OPPO’s big‑data platform lead explains how the company built a real‑time data warehouse using Flink SQL extensions, presents four key aspects of the evolution, application cases, and future directions.
This article originates from the 2019 Apache Flink Meetup in Shenzhen, presented by the head of OPPO’s big‑data platform, and focuses on how OPPO builds a real‑time data warehouse based on Flink.
The talk covers four main aspects: the evolution path of OPPO’s real‑time data warehouse, extensions to Flink SQL, concrete application cases of the real‑time warehouse, and thoughts and outlook for future work.
Speaker Biography: The speaker earned a master’s degree from Shanghai Jiao Tong University in 2011, previously worked at Morgan Stanley and Tencent, and now leads OPPO’s data‑platform development, overseeing the full‑link data middle‑platform from data ingestion to governance, development, and application. His current focus includes data‑warehouse construction, real‑time computation, and OLAP queries, and he contributes to the Flink open‑source community.
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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