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Database Integrations

AeroEBT supports integration with various database systems to enable data synchronization, reporting, and analytics capabilities.

Overview​

Database integrations allow AeroEBT to connect with your organization's existing database infrastructure, enabling:

  • Real-time data synchronization
  • Historical data analysis
  • Cross-system reporting
  • Data warehousing and business intelligence
  • Backup and disaster recovery

Supported Database Systems​

PostgreSQL​

PostgreSQL integration provides full-featured relational database connectivity.

Features:

  • Native PostgreSQL protocol support
  • Read and write operations
  • Transaction support
  • Connection pooling
  • Replication support

Use cases:

  • Real-time data synchronization
  • Master data management
  • Transactional data operations
  • Complex query operations

PostgreSQL integration supports standard PostgreSQL protocols and features.

MySQL / MariaDB​

MySQL and MariaDB integration support for relational database operations.

Features:

  • Native MySQL protocol
  • Read and write operations
  • Stored procedure support
  • Replication capabilities

Use cases:

  • Legacy system integration
  • Data migration
  • Cross-database reporting

MySQL and MariaDB integration supports standard MySQL protocols and features.

Microsoft SQL Server​

SQL Server integration for enterprise database connectivity.

Features:

  • Native SQL Server protocol
  • Read and write operations
  • Integration Services (SSIS) support
  • Always On availability groups

Use cases:

  • Enterprise data integration
  • Business intelligence integration
  • Enterprise reporting

SQL Server integration supports native SQL Server protocols and enterprise features.

Oracle Database​

Oracle Database integration for enterprise-level database operations.

Features:

  • Oracle Net protocol support
  • Read and write operations
  • PL/SQL support
  • Data Guard integration

Use cases:

  • Enterprise data warehousing
  • Legacy system integration
  • Enterprise reporting

Oracle Database integration supports Oracle Net protocols and enterprise features.

Data Warehouses​

Integration with cloud data warehouse solutions for analytics and reporting.

Snowflake​

Snowflake integration for cloud data warehousing.

Features:

  • Native Snowflake connectors
  • Bulk data loading
  • Query federation
  • Secure data sharing

Use cases:

  • Large-scale data analytics
  • Business intelligence
  • Data science workflows
  • Historical data analysis

Snowflake integration supports cloud data warehousing and analytics workloads.

Amazon Redshift​

Amazon Redshift integration for AWS-based data warehousing.

Features:

  • Native Redshift connectors
  • COPY command support
  • Spectrum integration
  • Columnar storage optimization

Use cases:

  • AWS ecosystem integration
  • Large-scale analytics
  • Data lake integration

Amazon Redshift integration supports AWS-based data warehousing and analytics.

Google BigQuery​

Google BigQuery integration for Google Cloud data analytics.

Features:

  • Native BigQuery connectors
  • Streaming inserts
  • Query federation
  • ML integration

Use cases:

  • Google Cloud ecosystem integration
  • Real-time analytics
  • Machine learning workflows

Google BigQuery integration supports Google Cloud data analytics and ML workflows.

Integration Methods​

Direct Database Connection​

Direct connection to databases using native protocols.

Advantages:

  • Low latency
  • Full database feature support
  • Transaction support
  • Real-time synchronization

Considerations:

  • Network security requirements
  • Connection management
  • Database load impact

ETL/ELT Pipelines​

Extract, Transform, Load (or Load, Transform) pipelines for data integration.

Advantages:

  • Data transformation capabilities
  • Batch processing
  • Error handling
  • Data quality checks

Considerations:

  • Processing latency
  • Infrastructure requirements
  • Maintenance overhead

Change Data Capture (CDC)​

Real-time change tracking and synchronization.

Advantages:

  • Real-time updates
  • Low overhead
  • Minimal database impact
  • Incremental updates

Considerations:

  • Database-specific implementations
  • Initial setup complexity
  • Monitoring requirements

Getting Started​

Prerequisites​

  • Database administrator access
  • Network connectivity between AeroEBT and database
  • Understanding of database schema
  • Security credentials and permissions

Integration Planning​

  1. Assess database compatibility: Verify database version and features
  2. Define data requirements: Identify what data needs to be synchronized
  3. Plan security approach: Design authentication and encryption strategy
  4. Design data model: Map AeroEBT data to database schema
  5. Plan for growth: Consider scalability and performance requirements

Security Configuration​

Database integrations require careful security configuration:

  • Network Security: Use VPN, private networks, or database-specific network rules
  • Authentication: Strong authentication methods (certificates, encrypted passwords)
  • Encryption: TLS/SSL for data in transit
  • Access Control: Principle of least privilege for database access
  • Audit Logging: Enable database audit logs

Connection Configuration​

Configure database connections with:

  • Connection strings or connection parameters
  • Authentication credentials (stored securely)
  • Connection pooling settings
  • Timeout and retry configurations
  • SSL/TLS settings

Data Synchronization Patterns​

One-Way Sync​

Unidirectional data flow (AeroEBT → Database or Database → AeroEBT).

Use cases:

  • Reporting data export
  • Reference data import
  • Analytics data loading

Bidirectional Sync​

Two-way data synchronization between systems.

Use cases:

  • Master data management
  • Cross-system updates
  • Shared configuration data

Real-Time Sync​

Immediate synchronization of data changes.

Use cases:

  • Critical operational data
  • Live dashboards
  • Real-time reporting

Batch Sync​

Scheduled batch synchronization of data.

Use cases:

  • Historical data loading
  • Non-critical updates
  • Resource-efficient synchronization

Performance Considerations​

Connection Pooling​

  • Configure appropriate pool sizes
  • Monitor connection utilization
  • Handle connection failures gracefully

Query Optimization​

  • Optimize queries for performance
  • Use appropriate indexes
  • Monitor query execution times
  • Implement query result caching where appropriate

Data Volume Management​

  • Implement pagination for large result sets
  • Use batch operations for bulk updates
  • Consider data archiving strategies
  • Monitor data growth patterns

Monitoring and Maintenance​

Health Monitoring​

  • Monitor database connection health
  • Track synchronization status
  • Monitor query performance
  • Set up alerts for failures

Data Quality​

  • Implement data validation rules
  • Monitor for data inconsistencies
  • Regular data quality audits
  • Error reporting and resolution

Maintenance Tasks​

  • Regular connection testing
  • Performance tuning
  • Schema change management
  • Backup and recovery testing

Compliance and Governance​

Data Governance​

  • Maintain data lineage documentation
  • Implement data classification
  • Follow data retention policies
  • Ensure data quality standards

Regulatory Compliance​

  • Aviation industry regulations
  • GDPR compliance (EU data)
  • Data protection standards
  • Audit trail requirements

Troubleshooting​

Common Issues​

Connection failures

  • Verify network connectivity
  • Check firewall rules
  • Validate credentials
  • Review connection pool settings

Performance issues

  • Review query performance
  • Check database indexes
  • Monitor connection pool utilization
  • Optimize data volume

Data synchronization errors

  • Review error logs
  • Check data format compatibility
  • Verify schema mappings
  • Validate data constraints

Support​

For additional assistance with database integrations:

  • Documentation: Comprehensive guides for each database system
  • Configuration Support: Assistance with connection setup
  • Support Team: Contact support@skydynamics.aero
  • Database-Specific Guides: See individual database integration documentation