Database Design Kenya

Database Design & Optimisation

Well-structured, efficient databases that are the backbone of every great application. From schema design to query optimisation — built for speed, integrity, and scalability.

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What's Included

Service Features

Schema Design & Normalisation

Properly normalised schemas (3NF/BCNF) that eliminate redundancy and maintain data integrity.

Query Optimisation

Index tuning, query analysis with EXPLAIN, and rewriting slow queries for dramatic performance gains.

Migrations & Version Control

Laravel/Django migrations or Flyway for reproducible, auditable database changes.

Data Modelling

Entity-relationship diagrams, UML data models, and capacity planning for your system.

Database Backups & Recovery

Automated backup strategies, point-in-time recovery, and disaster recovery planning.

Security & Access Control

Role-based DB users, encrypted columns, SQL injection prevention, and audit trails.

Technologies

Tech Stack Used

PostgreSQL MySQL MariaDB SQLite Redis pgAdmin MySQL Workbench ERD Tools Laravel Migrations Django ORM

Why It Matters

Key Benefits

Faster Application Performance

A well-indexed, properly designed database can reduce query times by 10–100x.

Data Integrity

Foreign keys, constraints, and transactions prevent corrupted or inconsistent data.

Easier Maintenance

Normalised schemas are easier to update, extend, and reason about over time.

Scalability

Designed with growth in mind — partitioning, read replicas, and sharding strategies when needed.

Reliable Backups

Automated backup and recovery means your data is safe even in disaster scenarios.

SQL Injection Prevention

Parameterised queries and ORM usage protect against one of the most common web vulnerabilities.

How We Work

My Process

Requirements Gathering

Understand your data entities, relationships, volume estimates, and access patterns.

Data Modelling

ERD design, normalisation review, and indexing strategy documented.

Implementation

Schema creation, seed data, migrations, and ORM integration.

Optimisation

Slow query analysis, index tuning, and performance benchmarking.

FAQ

Common Questions

PostgreSQL is generally the better choice for complex queries, JSON data, full-text search, and strict ACID compliance. MySQL is slightly simpler and very common in shared hosting environments. I recommend PostgreSQL for most new projects.

Yes. Slow databases are usually due to missing indexes, unoptimised queries, or schema design issues. I can audit your database, profile slow queries, and implement targeted optimisations with measurable results.

Yes. I use zero-downtime migration strategies — adding nullable columns before constraints, using feature flags, and batching large data changes — to avoid disrupting live applications.

Yes. I handle full schema and data migration between database engines, including resolving type incompatibilities, function differences, and ORM configuration updates.

Need expert database design or optimisation?

A well-designed database is the foundation of a great application. Let's get yours right from the start.

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