Example Data Architecture Documentation

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