metadata

DE//AGENT currently lists 6 resources under metadata: 3 tutorials, 1 mcp server, 1 agent. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

Also present: 1 reference.

Documented learning objectives across these resources:

• Create and query a first table on a real table format using the official docs — via Your first lakehouse table — create, query, measure, compact
• Read a table's file health from the metadata table with one SQL query — via Your first lakehouse table — create, query, measure, compact
• Run a first compaction and prove it with before/after numbers — via Your first lakehouse table — create, query, measure, compact
• Name the layers the Iceberg spec defines — snapshots, manifests, hidden partitioning — via Table format mechanics — snapshots, manifests, and the metadata tables
• Query the files and history metadata tables with plain SQL — via Table format mechanics — snapshots, manifests, and the metadata tables
• Explain when manifests need rewriting and why the spec outranks engine docs — via Table format mechanics — snapshots, manifests, and the metadata tables
• Run the catalog assistant's four-step workflow on a real asset — via Catalogs and ownership: who owns this table and is it safe to use?
• Answer owner, SLA and classification questions from metadata alone — via Catalogs and ownership: who owns this table and is it safe to use?

1 more objectives live on the individual resource pages.

These resources map to stages: Observability (4), Lakehouse (2). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Every entry, its shape and its trust state — sorted by the registry's composite score. This table is the honest version of a marketing comparison: no sponsored placements, no unverifiable claims.

How scores are computed: source quality score.

Highest composite score first:

1. DataHub MCP Server score 42.2 — intermediate
2. Your first lakehouse table — create, query, measure, compact score 34.15 — beginner
3. Table format mechanics — snapshots, manifests, and the metadata tables score 34.15 — intermediate

Scores rank provenance, completeness and trust — read how verification works before adopting anything.

Start here if you're new: Your first lakehouse table — create, query, measure, compact, Catalogs and ownership: who owns this table and is it safe to use?, Data Catalog Assistant.

Security-flagged entries: DataHub MCP Server (2 flags), Catalogs and ownership: who owns this table and is it safe to use? (2 flags), Data Catalog Assistant (2 flags). Flags mean the record declares capabilities like credential use or write access — read the security posture on each page before connecting.

• DataHub MCP Server — Exposes a DataHub catalog: search entities, read lineage and schema, and inspect metadata, so an agent can answer "what is this table and what depends on it?". details
• Your first lakehouse table — create, query, measure, compact — Run the whole loop in one sitting on a scratch table: create and query a first Delta or Iceberg table from the official docs, read its health from the files metadata table with one… details
• Table format mechanics — snapshots, manifests, and the metadata tables — Open the hood on an Iceberg table: the spec's layers (snapshots, manifests, hidden partitioning), the files and history metadata tables you query with plain SQL, and the manifest l… details
• Catalogs and ownership: who owns this table and is it safe to use? — Every incident resolves faster when you can ask a catalog what this data is, who owns it, and whether it is safe to use. Run the catalog-assistant workflow end to end — resolve, re… details

Real install commands from the registry — read the source before running any of them:

uvx mcp-server-datahub

DataHub MCP Server — review first

Adjacent topics: catalog (4 shared), tutorial (3 shared), lineage (3 shared), lakehouse (2 shared).

Study path: the roadmap places this topic in a progression · the scoring model explains the numbers · the trust rule catalog shows every security check these entries passed through.