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Big Data Technology Architecture
Big Data Technology Architecture
Jun 16, 2020 · Big Data

Real-time Multi-dimensional Analytics and SlimBase State Backend at Kuaishou: Flink Applications and Optimizations

This article describes how Kuaishou leverages Apache Flink for large‑scale real‑time multi‑dimensional analytics, details the architecture of its analytics platform using Kudu storage and KwaiBI, and introduces SlimBase—a lightweight, embedded shared state backend that replaces RocksDB to reduce I/O, latency, and CPU overhead.

FlinkKuaishouKudu
0 likes · 17 min read
Real-time Multi-dimensional Analytics and SlimBase State Backend at Kuaishou: Flink Applications and Optimizations
DataFunTalk
DataFunTalk
Jun 11, 2020 · Big Data

Real-time Multi-dimensional Analytics and SlimBase State Backend at Kuaishou: Flink Applications and Optimizations

This article presents Kuaishou's extensive use of Apache Flink for real-time multi-dimensional analytics, detailing the platform's architecture, cluster scale, data processing pipelines, the design of a shared state storage engine called SlimBase, and performance improvements achieved through replacing RocksDB with a customized HBase‑based solution.

FlinkKuaishouSlimBase
0 likes · 15 min read
Real-time Multi-dimensional Analytics and SlimBase State Backend at Kuaishou: Flink Applications and Optimizations