Part 7/12:
Physical Modeling: Implementing with database-specific optimization and standards.
Review & Iteration: Continually refining for accuracy, performance, and compliance.
This process is iterative, resource-intensive, and heavily reliant on domain expertise.
The Role of Data Profiling and Metadata
Understanding source data employs tools like data quality analyzers and profiling utilities (e.g., Informatica, IBM Data Quality). These reveal attribute distributions, data patterns (e.g., phone number formats), and key candidate identification. For example, standardizing inconsistent phone number formats requires detailed analysis and rule generation, often consuming significant time.