kdbplus-kx-engineering

What problem does it solve?

This Skill addresses the complexities of managing and optimizing kdb+ databases for quantitative research and production environments, ensuring data integrity, performance, and reliability.

Core Features & Use Cases

• Schema Design & Management: Define and enforce columnar schemas for efficient data storage and retrieval.
• Data Ingestion & Validation: Implement robust data pipelines with replay support and deterministic normalization, including checks for freshness, completeness, and quality.
• Performance Optimization: Control query latency and manage partition skew for high-performance analytics.
• Use Case: When implementing a new data feed for a trading strategy, use this Skill to define the schema, ingest historical data, validate its point-in-time correctness, and monitor its quality before going live.

Quick Start

Run python scripts/kdbplus_kx_engineering_diagnostics.py input.csv --output diagnostics.json and keep the json artifact.