Example Data Architecture Documentation
1 March 2024
Architecture Diagram #
Components #
Data Sources #
- Internal databases
- Third-party APIs
- CSV files
Data Processing #
- ETL pipeline using Apache Airflow
- Data cleansing and transformation
- Data enrichment
Data Storage #
- Relational database (PostgreSQL)
- Data lake (Amazon S3)
- Data warehouse (Google BigQuery)
Data Analysis #
- Business intelligence tools (Tableau, Power BI)
- Data exploration and visualization
- Machine learning models
Technologies Used #
- Apache Airflow
- PostgreSQL
- Amazon S3
- Google BigQuery
- Tableau
- Power BI
- Python (for data processing and analysis)
Data Governance #
- Access control policies
- Data quality monitoring
- Data lineage tracking
- Compliance with GDPR and other regulations
Data Flows #
Describe the flow of data from sources to storage to analysis.
Scalability and Performance Considerations #
- Horizontal scaling for processing and storage
- Optimizations for query performance
- Monitoring and optimization of ETL processes