#Data Governance

Articles about Data Governance — exploring patterns, best practices, and real-world implementations in production systems.

2 posts tagged with data governance. ← All posts

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Pratik Dhanave · ·6 min read

Operating Knowledge Graphs in Practice — Governance, Evolution, and When to Build One

A knowledge graph is not a project you finish; it's a system you run. Ontologies evolve, data drifts, quality decays, and the graph has to stay trustworthy while the business changes around it. This closing post covers the operational reality — governing the ontology, keeping the graph correct over time, and the honest question most teams skip: given the cost, when is a knowledge graph actually the right tool? It ties the series into a decision you can make with clear eyes.

A knowledge graph is a system you run, not a project you finish. Governing the ontology as it evolves, keeping the populated graph correct (freshness, re-resolution, provenance), and the honest question: given the cost, when is a knowledge graph the right tool — and when is a table or plain vector RAG cheaper and enough?

#Knowledge Graphs#Data Governance#Ontology#Operations#Semantic Web#RAG
Pratik Dhanave · ·8 min read

Data Quality and Governance

The most dangerous failure in data engineering is the one that doesn't announce itself. A crashed pipeline gets noticed; silently wrong data flows straight into dashboards and models, where people trust it and make decisions on it — wrong decisions, confidently made. Data quality and governance are the disciplines that guard against this: ensuring data is correct, trustworthy, and well-managed. They're the least glamorous and most important part of production data engineering, because without them, all the pipelines and warehouses just deliver garbage efficiently.

The most dangerous failure in data engineering is the one that doesn't announce itself. A crashed pipeline gets noticed; silently wrong data flows straight into dashboards and models, where people trust it and make wrong decisions confidently. Data quality and governance are the disciplines that guard against this.

#Data Engineering#Data Governance#Data Quality#Backend Engineering#Data

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.