Schema Normalization is the process of organizing the fields and tables of a database to minimize data redundancy and improve data integrity, which is crucial for managing diverse and rapidly evolving crypto data. Its purpose is to enhance database efficiency, consistency, and query performance, forming a robust data foundation.
Mechanism
It involves decomposing large tables into smaller, related tables and defining relationships between them, often adhering to a series of normal forms (e.g., 1NF, 2NF, 3NF). This structured approach eliminates duplicate data storage and addresses update anomalies, ensuring that changes to data are consistent and reliable across the entire system.
Methodology
The methodology applies systematic rules to database design, preventing logical inconsistencies and optimizing data retrieval for analytical and operational systems. In crypto, where data from various exchanges, blockchains, and analytics platforms must be aggregated, normalization ensures a reliable and scalable data foundation for accurate reporting and algorithmic processing, supporting data quality.
Jurisdictional reporting discrepancies fragment market intelligence, escalating operational costs and impeding holistic risk oversight for global block trades.
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