A data analyst merges multiple logs from retail offices, each using a widely recognized name-value pair format. Which tactic preserves consistent field usage when combining these separate files into a unified dataset?
Add extra fields to distinguish each region's structure within the same merged file
Adopt a universal set of keys and consistent naming across all logs
Convert each site's logs into a single large text field in every record
Rely on local offices to redefine field names in their own way
Using standardized keys is crucial when working with JavaScript Object Notation (JSON) because it prevents data mismatches. Systems can then interpret fields consistently across merged files. Adding more fields that uniquely identify each region can complicate aggregated reporting. Storing everything in one string field introduces challenges for deeper analysis. Leaving field naming up to local teams leads to inconsistencies across combined data.
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