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Pengoptimuman Pertanyaan×Normalisasi Pangkalan Data×
BidangSistem MaklumatSistem Maklumat
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19791970
PengasasIBM San Jose Research LaboratoryEdgar F. Codd
JenisDatabase optimization techniqueData organization methodology
Sumber perintisJarke, M., & Koch, J. (1984). Query optimization in database systems. ACM Computing Surveys, 16(2), 111-152. DOI ↗Codd, E. F. (1970). A relational model of data for large shared data banks. Communications of the ACM, 13(6), 377-387. DOI ↗
Alias
Berkaitan21
RingkasanQuery optimization is a critical process in database management that transforms high-level SQL queries into efficient execution plans. Developed systematically by IBM researchers in the late 1970s, it aims to minimize execution time, disk I/O, and resource consumption by selecting the most effective access paths and join strategies.Database normalization is a systematic process for organizing relational database schemas to eliminate redundancy and enforce data integrity. Introduced by Edgar Codd in 1970-1971 as part of the relational database model, it defines a series of normal forms (1NF through BCNF) that progressively eliminate different types of data anomalies.
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ScholarGateBandingkan kaedah: Query Optimization · Database Normalization. Dicapai 2026-06-16 daripada https://scholargate.app/ms/compare