How a property portal models its data: properties as durable things versus listings as repeatable campaigns, agents and agencies, ordered media, amenities, price history as rows, viewings, offers and saved searches with alerts.
How a mortgage lender models a file in Oracle: borrowers and co-borrowers with income and liabilities, the subject property and its appraisals, rate locks that expire, underwriting decisions and conditions to clear, a document checklist, closing and disbursement.
Landlord operations modelled end to end: buildings and units, leases and renewals, co-tenants and guarantors, rent charges generated per period, payments allocated against them, deposits held and returned, maintenance with vendors, and inspections.
How a photo-sharing app models its data: asymmetric follows with pending requests for private accounts, posts carrying an ordered carousel of media, likes and two-level comments, stories that expire, saved collections and direct messages.
How a visual bookmarking app models its data: images deduplicated by content hash, pins as saves rather than uploads, repins as a self-reference to the source pin, boards with sections and collaborators, follows of both people and boards, and saved searches.