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Spark가 같은 쿼리를 MapReduce보다 100배 빠르게 처리하는 비결. RDD부터 DataFrame/Dataset, Catalyst optimizer, Tungsten project, whole-stage code generation, shuffle 최적화까지 720줄로 완전 분석한다.
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- Published on
확률적 자료구조의 모든 것! Bloom Filter, Counting Bloom Filter, HyperLogLog, Count-Min Sketch, MinHash, Cuckoo Filter — 메모리 효율과 정확도의 트레이드오프, RocksDB/Redis/Cassandra/Spark의 실전 활용.- Published on
Snowflake, BigQuery, Spark가 수 TB 데이터를 수 초에 쿼리하는 비결. Parquet의 Dremel 기반 구조, ORC, Apache Arrow의 메모리 포맷, RLE/Dictionary 압축, 벡터화 실행까지 720줄로 완전 분석한다.- Published on
Redis가 12KB로 10억 개의 유니크 방문자를 세는 비결, HyperLogLog. Count-Min Sketch, MinHash, T-Digest, Cuckoo Filter까지 — 메모리와 정확도를 교환하는 확률적 자료구조의 세계를 720줄로 완전 분석한다.- Published on
Snowflake가 어떻게 클라우드 데이터 웨어하우스 시장을 뒤엎었는가? Compute와 Storage의 분리, 마이크로 파티션, 가상 웨어하우스, zero-copy clone까지 — 현대 데이터 플랫폼의 기준이 된 아키텍처를 720줄로 완전 분석한다.- Published on
Apache Iceberg의 아키텍처와 핵심 기능(Time Travel, Schema Evolution, Partition Evolution)을 분석하고, Spark/Trino 연동과 프로덕션 운영 전략을 다룹니다.- Published on
Hadoop의 핵심 구성 요소인 HDFS, MapReduce, YARN의 아키텍처와 동작 원리를 이해하고, 클러스터 구축부터 성능 튜닝, 모니터링까지 실전 운영 노하우를 다루는 종합 가이드.- Published on
HBase의 데이터 모델과 아키텍처를 이해하고, 테이블 설계, RowKey 전략, 읽기/쓰기 성능 최적화, Region 관리, 모니터링까지 실전 운영에 필요한 모든 것을 다루는 가이드.