# Data Services

Data services manage data storage, processing, and discovery across the trading platform, providing structured access to market data, features, and metadata.

## Services

### Data Catalog
- **Purpose**: Data asset management and discovery
- **Key Functions**:
  - Data asset discovery and search capabilities
  - Metadata management and governance
  - Data lineage tracking
  - Schema registry and versioning
  - Data quality monitoring

### Data Processor
- **Purpose**: Data transformation and processing pipelines
- **Key Functions**:
  - ETL/ELT pipeline orchestration
  - Data cleaning and normalization
  - Batch and stream processing
  - Data validation and quality checks

### Feature Store
- **Purpose**: ML feature management and serving
- **Key Functions**:
  - Online and offline feature storage
  - Feature computation and serving
  - Feature statistics and monitoring
  - Feature lineage and versioning
  - Real-time feature retrieval for ML models

### Market Data Gateway
- **Purpose**: Market data storage and historical access
- **Key Functions**:
  - Historical market data storage
  - Data archival and retention policies
  - Query optimization for time-series data
  - Data backup and recovery

## Architecture

Data services create a unified data layer that enables efficient data discovery, processing, and consumption across the platform. They ensure data quality, consistency, and accessibility for both operational and analytical workloads.