datasphere-explorer

What problem does it solve?

Analysts and data stewards often cannot quickly discover what data exists, where it lives, or whether it is suitable for analysis; this Skill helps users locate assets, understand schemas and quality, and trace lineage without requiring deep Datasphere or SQL knowledge.

Core Features & Use Cases

• Guided landscape overview: list and summarize spaces by purpose, size, and object counts to orient users.
• Space deep dive and catalog search: enumerate assets in a space, surface curated "golden" datasets, and search the catalog by topic or column.
• Schema inspection and profiling: present column-level metadata, identify keys/measures/dimensions, sample data, and run distribution checks to highlight quality issues.
• Lineage and impact analysis: trace upstream sources and downstream consumers, inspect object definitions, and identify deployed objects that depend on a dataset.
• Interactive query building: convert natural-language requests into safe, limited queries or SQL for exploratory sampling and aggregation.
• Use case: A business analyst can ask for datasets related to "customer revenue", get ranked matches with descriptions and sample rows, inspect the schema, and request a short query that returns the top customers by revenue.

Quick Start

Show me an overview of available spaces and summarize storage, object counts, and recently modified assets.