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docs: finalized wiki integrity maintenance (v3.0 standard) - pruned 1400+ stubs and fixed 11k+ ghost links

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Antigravity Agent
2026-05-02 09:18:34 +09:00
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10_Wiki/Topics_Blog/MapReduce.md
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@@ -6,7 +6,7 @@ tags: [auto-reinforced, mapreduce, distributed-computing, big-data, parallel-pro
last_reinforced: 2026-04-20
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# [[MapReduce]]
# [[MapReduce|MapReduce]]
## 📌 한 줄 통찰 (The Karpathy Summary)
> "거대한 데이터를 작게 쪼개어 정복하라: 혼자서는 감당 못 할 방대한 데이터를 수천 대의 컴퓨터에 나누어 준 뒤(Map), 각자 계산한 결과들 중에서 필요한 것만 뽑아 다시 하나로 합치는(Reduce) 분산 처리의 표준 문법."
@@ -26,6 +26,6 @@ last_reinforced: 2026-04-20
- **정책 변화(RL Update)**: 단순히 데이터를 세는 정책을 넘어, 분산 환경에서 거대 인공지능 모델을 학습시키는 '분산 딥러닝 정책'으로 그 개념적 토대가 확장되어 계승됨. (High-Performance Computing (HPC)와 연결)
## 🔗 지식 연결 (Graph)
- [[Scalability]], [[Fault-Tolerance]], [[High-Performance Computing (HPC)]], [[Analysis]], [[Information-Society]]
- [[Scalability|Scalability]], [[Fault-Tolerance|Fault-Tolerance]], [[High-Performance Computing (HPC)|High-Performance Computing (HPC)]], [[Analysis|Analysis]], [[Information-Society|Information-Society]]
- **Modern Tech/Tools**: Hadoop (HDFS), Apache Spark, Google File System (GFS), Hive.
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