169 lines
3.0 KiB
Markdown
169 lines
3.0 KiB
Markdown
|
# Data Platform Architecture Design
|
||
|
|
|
||
|
|
**Date**: 2025-01-27
|
||
|
|
**Purpose**: Design document for unified data platform
|
||
|
|
**Status**: Design Document
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Executive Summary
|
||
|
|
|
||
|
|
This document outlines the design for a unified data platform that provides centralized data storage, analytics, and governance across all workspace projects.
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Architecture Overview
|
||
|
|
|
||
|
|
### Components
|
||
|
|
|
||
|
|
1. **Data Lake** (MinIO, S3, or Azure Blob)
|
||
|
|
2. **Data Catalog** (Apache Atlas, DataHub, or custom)
|
||
|
|
3. **Analytics Engine** (Spark, Trino, or BigQuery)
|
||
|
|
4. **Data Pipeline** (Airflow, Prefect, or custom)
|
||
|
|
5. **Data Governance** (Policies, lineage, quality)
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Technology Options
|
||
|
|
|
||
|
|
### Data Storage
|
||
|
|
|
||
|
|
#### Option 1: MinIO (Recommended - Self-Hosted)
|
||
|
|
- S3-compatible
|
||
|
|
- Self-hosted
|
||
|
|
- Good performance
|
||
|
|
- Cost-effective
|
||
|
|
|
||
|
|
#### Option 2: Cloudflare R2
|
||
|
|
- S3-compatible
|
||
|
|
- No egress fees
|
||
|
|
- Managed service
|
||
|
|
- Good performance
|
||
|
|
|
||
|
|
#### Option 3: Azure Blob Storage
|
||
|
|
- Azure integration
|
||
|
|
- Managed service
|
||
|
|
- Enterprise features
|
||
|
|
|
||
|
|
**Recommendation**: MinIO for self-hosted, Cloudflare R2 for cloud.
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Data Architecture
|
||
|
|
|
||
|
|
### Data Layers
|
||
|
|
|
||
|
|
1. **Raw Layer**: Unprocessed data
|
||
|
|
2. **Cleansed Layer**: Cleaned and validated
|
||
|
|
3. **Curated Layer**: Business-ready data
|
||
|
|
4. **Analytics Layer**: Aggregated and analyzed
|
||
|
|
|
||
|
|
### Data Formats
|
||
|
|
- **Parquet**: Columnar storage
|
||
|
|
- **JSON**: Semi-structured data
|
||
|
|
- **CSV**: Tabular data
|
||
|
|
- **Avro**: Schema evolution
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Implementation Plan
|
||
|
|
|
||
|
|
### Phase 1: Data Storage (Weeks 1-2)
|
||
|
|
- [ ] Deploy MinIO or configure cloud storage
|
||
|
|
- [ ] Set up buckets/containers
|
||
|
|
- [ ] Configure access policies
|
||
|
|
- [ ] Set up backup
|
||
|
|
|
||
|
|
### Phase 2: Data Catalog (Weeks 3-4)
|
||
|
|
- [ ] Deploy data catalog
|
||
|
|
- [ ] Register data sources
|
||
|
|
- [ ] Create data dictionary
|
||
|
|
- [ ] Set up lineage tracking
|
||
|
|
|
||
|
|
### Phase 3: Data Pipeline (Weeks 5-6)
|
||
|
|
- [ ] Set up pipeline orchestration
|
||
|
|
- [ ] Create ETL jobs
|
||
|
|
- [ ] Schedule data processing
|
||
|
|
- [ ] Monitor pipelines
|
||
|
|
|
||
|
|
### Phase 4: Analytics (Weeks 7-8)
|
||
|
|
- [ ] Set up analytics engine
|
||
|
|
- [ ] Create data models
|
||
|
|
- [ ] Build dashboards
|
||
|
|
- [ ] Set up reporting
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Data Governance
|
||
|
|
|
||
|
|
### Policies
|
||
|
|
- Data retention policies
|
||
|
|
- Access control policies
|
||
|
|
- Privacy policies
|
||
|
|
- Quality standards
|
||
|
|
|
||
|
|
### Lineage
|
||
|
|
- Track data flow
|
||
|
|
- Document transformations
|
||
|
|
- Map dependencies
|
||
|
|
- Audit changes
|
||
|
|
|
||
|
|
### Quality
|
||
|
|
- Data validation
|
||
|
|
- Quality metrics
|
||
|
|
- Anomaly detection
|
||
|
|
- Quality reports
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Integration
|
||
|
|
|
||
|
|
### Projects Integration
|
||
|
|
- **dbis_core**: Transaction data
|
||
|
|
- **the_order**: User data
|
||
|
|
- **Sankofa**: Platform metrics
|
||
|
|
- **All projects**: Analytics data
|
||
|
|
|
||
|
|
### API Integration
|
||
|
|
- RESTful APIs for data access
|
||
|
|
- GraphQL for queries
|
||
|
|
- Streaming APIs for real-time
|
||
|
|
- Batch APIs for bulk
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Security
|
||
|
|
|
||
|
|
### Access Control
|
||
|
|
- Role-based access
|
||
|
|
- Data classification
|
||
|
|
- Encryption at rest
|
||
|
|
- Encryption in transit
|
||
|
|
|
||
|
|
### Privacy
|
||
|
|
- PII handling
|
||
|
|
- Data masking
|
||
|
|
- Access logging
|
||
|
|
- Compliance tracking
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Monitoring
|
||
|
|
|
||
|
|
### Metrics
|
||
|
|
- Data ingestion rate
|
||
|
|
- Processing latency
|
||
|
|
- Storage usage
|
||
|
|
- Query performance
|
||
|
|
|
||
|
|
### Alerts
|
||
|
|
- Pipeline failures
|
||
|
|
- Quality issues
|
||
|
|
- Storage capacity
|
||
|
|
- Access anomalies
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
**Last Updated**: 2025-01-27
|
||
|
|
|