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Data Transformation

[ˈdeɪtə trænsˌfɔːˈmeɪʃən]
AI Infrastructure
Last updated: December 9, 2024

Definition

The process of converting data from one format or structure into another to make it suitable for analysis or integration.

Detailed Explanation

Data transformation includes operations like cleaning, aggregation, normalization, denormalization, and enrichment of data. It involves applying business rules, handling missing values, standardizing formats, and preparing data for specific use cases while maintaining data integrity and meaning.

Use Cases

ETL processes, Data warehouse loading, Machine learning feature engineering, Report generation

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