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docs/data-services/README.md
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# Data Services
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Data services manage data storage, processing, and discovery across the trading platform, providing structured access to market data, features, and metadata.
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## Services
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### Data Catalog
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- **Purpose**: Data asset management and discovery
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- **Key Functions**:
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- Data asset discovery and search capabilities
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- Metadata management and governance
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- Data lineage tracking
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- Schema registry and versioning
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- Data quality monitoring
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### Data Processor
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- **Purpose**: Data transformation and processing pipelines
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- **Key Functions**:
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- ETL/ELT pipeline orchestration
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- Data cleaning and normalization
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- Batch and stream processing
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- Data validation and quality checks
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### Feature Store
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- **Purpose**: ML feature management and serving
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- **Key Functions**:
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- Online and offline feature storage
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- Feature computation and serving
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- Feature statistics and monitoring
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- Feature lineage and versioning
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- Real-time feature retrieval for ML models
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### Market Data Gateway
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- **Purpose**: Market data storage and historical access
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- **Key Functions**:
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- Historical market data storage
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- Data archival and retention policies
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- Query optimization for time-series data
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- Data backup and recovery
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## Architecture
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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.
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