Data platform
Status: complete (published 2026-08-19). Scope finalized at Batch A kickoff with maintainer POV; see findings.md and sources.md.
Scope inventory (v0)
- Current estate: lake/warehouse/lakehouse, streaming and CDC, BigData estate, data catalogs and metadata management, MDM, data quality, lineage
- Agent grounding: semantic and metrics layers, vector stores and hybrid search, permission-aware retrieval with ACL sync from source systems into every index; graph databases treated as a challenged default, not an assumption (first named debate)
- Governance: data classification, data contracts and data products (mesh operating model), consent capture, retention
- Agent-era additions: freshness pipelines for grounding, index lifecycle management, storage and embedding cost tiers, synthetic data
Challenged-default candidates
Graph databases vs topic modelling with contextual embeddings as the retriever (first named debate); dedicated vector databases vs pgvector or existing search engines; data mesh operating models vs a plainly governed warehouse. Each track proposes its final list at kickoff.
Files
findings.md and sources.md carry this track's research. The scoping brief and the vendor map were archived on 2026-08-23 (see archive/, decision D038).
Cite this page
Written by Murali Sid, Founder and AI Systems Architect, last updated 18 September 2026. Licensed CC BY-SA 4.0, so quote it freely with attribution.
Murali Sid (2026). Data platform. Agentic Architecture Skills. https://www.agenticarchitectureskills.com/library/layers/r02-data-platformMachine-readable version of this page: /library/layers/r02-data-platform.md