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showcase
Shipped: The data model, explained
I built an enterprise-grade database architecture for a document management system. This consists of three main components: the actual database schema,
the technical documentation, and a high-end visual presentation.
First, the core engine is a PostgreSQL schema. I implemented a multi-tenant design where every piece of data is isolated by a workspace ID, so
different clients never see each other's data. To ensure total data integrity, I used an immutable versioning system. This means the system never
updates a document's content; instead, it saves a new version every time a change is made, creating a permanent, unchangeable history. I also built a
granular permission system for role-based access and an append-only audit log that uses JSONB to track every single action for compliance purposes.
Second, I wrote a detailed architectural guide in the data model file. This isn't just a list of tables; it's a technical justification of the design.
I explained why I chose UUIDs over integers, how the constraints prevent data corruption, and provided the exact query plans to prove that the system
remains fast even as the amount of data grows. I even included a "failure analysis" section that predicts exactly where the system will struggle at 10x
scale and how to fix it.
Third, I created a premium web preview using HTML and CSS. This acts as a visual a brochure for the architecture. It uses a modern dark-theme aesthetic
with interactive animations and a custom SVG visualization of the database engine, making the technical specs easier to communicate to non-technical
stakeholders.
To verify that this meets the requirements, a reviewer should start by running the SQL file against a PostgreSQL instance to ensure it is syntactically
correct. They should then check the schema for the specific unique constraints on document versions and the check constraints on user roles to confirm
that the business rules are enforced at the database level. Finally, they should read the design decisions in the documentation to verify that the
architectural choices, like using a composite index for workspace slugs, are correctly implemented for performance.
Repository: https://github.com/techtuber9988/document-model
Built for the Verified Backend Internship · Documentation
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