NetEase Data Foundation Platform Construction – Technical Sharing
This article, originally shared by NetEase’s data expert Jiang Hongxiang on DataFun, outlines the construction of NetEase’s data foundation platform, covering database kernel insights and the implementation of the ad‑hoc query engine Impala with the distributed storage system Kudu, offering valuable big‑data engineering practices.
Disclaimer: This article is excerpted from NetEase teacher Jiang Hongxiang’s technical sharing “NetEase Data Foundation Platform Construction” on the DataFun community, covering experiences from database kernel to big data platform underlying technology development.
The second half of the article focuses on the ad‑hoc query engine Impala and the distributed storage system Kudu, providing practical insights for building scalable data processing pipelines.
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