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querying-aws-sagemaker-catalog

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SQL analytics for SageMaker Catalog metadata.

Data & Analytics#analytics#ownership#catalog#governance#sql#sagemaker#asset-metadata
AuthorAndreKurait
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill enables SQL-based analysis of SageMaker Catalog asset metadata exported as Apache Iceberg in the AWS-managed table bucket, enabling governance, ownership audits, and historical comparisons without building custom ETL.

Core Features & Use Cases

  • Governance & compliance: identify gaps in asset descriptions, ownership, and metadata consistency.
  • Inventory analytics: counts by resource_type, asset growth over time using snapshot_time.
  • Time travel & history: compare current catalog state with past snapshots using snapshot_time.
  • Ownership & descriptions: surface assets missing owners or descriptions for remediation.

Quick Start

Install and configure the SageMaker catalog data export, then run your first SQL query against the asset_metadata.asset table.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: querying-aws-sagemaker-catalog
Download link: https://github.com/AndreKurait/claude-marketplace-test/archive/main.zip#querying-aws-sagemaker-catalog

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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