concept#Data#Analytics#Business Intelligence#SQL

Relational Database

Relational databases are structured data stores that organize data into tables and allow for complex queries and transactions.

Relational databases use tables to organize data and are foundational to many modern applications.

Maturity

Established

Cognitive loadMedium

Classification

ComplexityMedium
Impact areaTechnical
Decision typeArchitectural
Organizational maturityIntermediate

Technical context

Integrations

Cloud servicesWeb applicationsData analytics tools

Principles & goals

Principles

Ensure data integrity.Utilize relationships between tables.Optimize query performance.

Value stream stage

Build

Organizational level

Enterprise, Domain, Team

Use cases & scenarios

Use cases

Scenarios

Compromises

Risks

Errors in data modeling.
Difficulties in scaling.
Poor performance with poorly designed queries.

Best practices

Perform regular backups of the database.
Optimize queries to enhance performance.
Maintain documentation of the database structure.

I/O & resources

Inputs

Identify data sources.
Design data structure.
Set up development environment.

Outputs

Database creation.
User access to data.
Reporting and analysis.

Resources

Description

Relational databases use tables to organize data and are foundational to many modern applications. They provide powerful query languages like SQL and support data integrity through relationships between tables. These features make them a preferred choice for many businesses.

✔Benefits

Enables complex data analyses.
Offers high data integrity.
Supports transactions.

✖Limitations

Can be slower with very large data sets.
Requires careful planning of the data schema.
Not suitable for unstructured data.

Trade-offs

Metrics

Query Speed
The time required to execute a query.
Data Integrity
The measure of accuracy and consistency of data.
Resource Utilization
The percentage of resources being utilized.

Examples & implementations

E-commerce Platform

An e-commerce platform that utilizes relational databases for storing product and customer data.

HR Management System

A human resource management system that manages employee data and offers analytics.

E-Learning Platform

An online course delivery platform that uses relational databases to manage user data.

Implementation steps

Choose database software.

Create data model.

Write SQL queries.

⚠️ Technical debt & bottlenecks

Technical debt

Outdated database version.
Inadequate security measures.
Non-optimized queries.

Known bottlenecks

Slow query performance.Data inconsistencies.Difficulties in data migration.

Misuse examples

Incorrect indexes used.
Direct access to data without security checks.
Data not archived regularly.

Typical traps

Database not maintained regularly.
Insufficient hardware resources.
Dependencies on other systems ignored.

Required skills

Database administrationSQL skillsData modeling

Architectural drivers

Performance requirements.Data integrity and reliability.Flexibility in data structuring.

Constraints

• Technological dependencies.
• Compliance requirements.
• Resource availability.