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Data Transformation
Data modeling or transformation is the process of transforming raw data into a clean and usable form. During transformation, you may remove duplicates, delete certain fields, standardize records, restructure the data, and join multiple tables so your analytics team can have good data to do all the analysis.
The goal of data modeling is for your data teams to produce trusted datasets for reporting, machine learning (ML) modeling, and operational workflows. Tools like dbt allows your data team to deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone on the data team can safely contribute to production-grade data pipelines.
Last modified 30d ago