Data catalogs: Iceberg catalogs (Hive Metastore, AWS Glue, Tabular), using DuckDB as a lightweight multi-source catalog, comparisons of Amundsen/DataHub/OpenMetadata, and patterns for unified data access.
Quickly install data-engineering-catalogs AI skill to your development environment via command line
Source: legout/data-platform-agent-skills.
Comprehensive guide to data catalog systems: purpose, Iceberg catalog implementations (Hive Metastore, AWS Glue, Tabular), using DuckDB as a lightweight multi-source catalog, and comparisons of open-source catalog tools (Amundsen, DataHub, OpenMetadata). Learn selection criteria, setup patterns, and best practices for data discovery, governance, and unified querying.
Without a catalog, you must manage table locations and schemas manually in each engine.
Apache Iceberg requires a catalog to store table metadata (schema, location, snapshots, partition specs). The catalog name → table identifier → storage location mapping.
Data catalogs: Iceberg catalogs (Hive Metastore, AWS Glue, Tabular), using DuckDB as a lightweight multi-source catalog, comparisons of Amundsen/DataHub/OpenMetadata, and patterns for unified data access. Source: legout/data-platform-agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-catalogsData catalogs: Iceberg catalogs (Hive Metastore, AWS Glue, Tabular), using DuckDB as a lightweight multi-source catalog, comparisons of Amundsen/DataHub/OpenMetadata, and patterns for unified data access. Source: legout/data-platform-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-catalogs Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/legout/data-platform-agent-skills