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Database Design & Normalization

Relational schema design. Normalization vs. denormalization trade-offs.

SERVICE DETAILS

I design database schemas with proper normalization (3NF+) for relational databases. I analyze access patterns, define key queries, balance consistency vs. performance, and implement proper constraints, foreign keys, and indexes.

> INVESTMENT:

from €1,500
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Key Benefits

Normalized schema for data integrity and consistency.

Denormalization recommendations—computed columns for high-frequency queries.

Proper data type selection—VARCHAR vs TEXT vs JSONB implications.

Constraints & validations—database-level integrity checks.

Migration strategy—safe schema changes with zero downtime.

The Process

1

Requirements Analysis

Understand entities, relationships, and query patterns.

2

Schema Design

Create ER diagram, define tables, relationships, and constraints.

3

Optimization

Add strategic denormalization and computed columns for performance.

4

Implementation

Create migration scripts, test on test data, deploy.

FAQ

When should I denormalize?

When the read:write ratio is high (95%+ reads). Examples: cached counts, cached aggregations.

What data type for large text?

TEXT for ≤1GB, JSONB for structured nested data, external storage (S3) for >1GB.

How to migrate schema in production?

Expand (add column), Migrate (fill data), Contract (remove old column). Zero-downtime deployment.

Got a project?

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WARSAW, PL
pawel.wiszniewski95@gmail.com