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incremental ETL

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DataFunTalk
DataFunTalk
Jul 14, 2022 · Big Data

Real‑Time Data Lake Practices at ByteDance and Alibaba: Architecture, Challenges, and Solutions

This article presents detailed case studies of ByteDance and Alibaba implementing real‑time data lake solutions with Hudi and Flink, describing the business drivers, architectural challenges, and the specific technical strategies such as unified metadata layers, optimistic locking, scalable hash indexing, and CDC‑based incremental ETL to achieve low‑latency, high‑throughput data processing.

FlinkHudibig data
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Real‑Time Data Lake Practices at ByteDance and Alibaba: Architecture, Challenges, and Solutions