विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| क्वेरी ऑप्टिमाइजेशन× | डेटाबेस नॉर्मलाइज़ेशन (Database Normalization)× | |
|---|---|---|
| क्षेत्र | सूचना प्रणालियाँ | सूचना प्रणालियाँ |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1979 | 1970 |
| प्रवर्तक≠ | IBM San Jose Research Laboratory | Edgar F. Codd |
| प्रकार≠ | Database optimization technique | Data organization methodology |
| मौलिक स्रोत≠ | Jarke, 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 ↗ |
| उपनाम | — | — |
| संबंधित≠ | 2 | 1 |
| सारांश≠ | Query 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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