The Database Architect Teaches His Nephew: Where the Real Interview Happens

Short summary

A database architect mentors his nephew on why interviewers focus so heavily on databases: data mistakes are irreversible and expensive to fix, unlike code bugs. SQL and NoSQL each excel at different problems—SQL for consistency and relationships, NoSQL for horizontal scale; choose by use case. Senior engineers design schemas for cheap future correction using constraint loosening, JSON for flexible data, and right-sized fields.

• •Data is the unforgiving core of backend systems—bad schema design costs far more to fix than code bugs
• •SQL vs NoSQL isn't about which is 'better,' but matching the tool to each data problem's specific needs
• •Design for cheap correction: loosen constraints later rather than tighten them, use JSON for flexible data, right-size fields

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