Database DevOps

3.

Continuous Integration for Databases

3.1.

Database CI Pipeline Architecture

3.1.1.

Pipeline Triggers

3.1.1.1.

Code Commit Triggers

3.1.1.2.

Scheduled Builds

3.1.1.3.

Manual Triggers

3.1.1.4.

Webhook Integration

3.1.2.

Build Server Configuration

3.1.2.1.

Resource Provisioning

3.1.2.2.

Environment Isolation

3.1.2.3.

Parallel Execution

3.1.2.4.

3.2.

CI Pipeline Stages

3.2.1.

Source Code Management

3.2.1.1.

Code Checkout Process

3.2.1.2.

Branch Strategy Integration

3.2.1.3.

Merge Conflict Handling

3.2.2.

Static Code Analysis

3.2.2.1.

SQL Linting Tools

3.2.2.2.

Coding Standards Enforcement

3.2.2.3.

Anti-Pattern Detection

3.2.2.4.

Security Vulnerability Scanning

3.2.2.5.

Code Quality Metrics

3.2.3.

Database Provisioning

3.2.3.1.

Ephemeral Database Creation

3.2.3.1.1.

Container-Based Databases

3.2.3.1.2.

Virtual Machine Provisioning

3.2.3.1.3.

Cloud Database Instances

3.2.3.2.

Database Lifecycle Management

3.2.3.3.

Resource Cleanup

3.2.4.

Schema Application

3.2.4.1.

Migration Script Execution

3.2.4.2.

Error Handling and Reporting

3.2.4.3.

Rollback on Failure

3.2.4.4.

Validation Checks

3.2.5.

Test Data Management

3.2.5.1.

Data Seeding Scripts

3.2.5.2.

Test Data Generation

3.2.5.3.

Data Consistency Validation

3.2.5.4.

Environment-Specific Data

3.2.6.

Automated Testing Execution

3.2.6.1.

Test Framework Integration

3.2.6.2.

Test Result Reporting

3.2.6.3.

Coverage Analysis

3.2.6.4.

Performance Testing

3.2.7.

Artifact Creation

3.2.7.1.

Deployable Package Generation

3.2.7.2.

Artifact Versioning

3.2.7.3.

Metadata Inclusion

3.2.7.4.

Storage and Distribution

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