Turning unstructured data into a graph database is a deceptively complex problem. You need to extract entities, understand relationships, define schemas, and maintain data quality whilst managing costs and supporting new data sources. The challenge isn't choosing whether to use a graph database; it's choosing how to populate it. This guide walks through seven different… Continue reading A Complete Guide to Data Ingestion Approaches from Documents to a Graph Database
Unstructured and Unlinked Policy Documents ACME_CORP has policies scattered everywhere: PDF files in shared drives, API responses from regulatory systems, manually created requirement documents, compliance frameworks from vendors. Each source is different. Each format is inconsistent. And yet, your auditors want to know: Which rules actually prevent unauthorized access? Where do we have conflicting compliance… Continue reading Building Intent-Based Policy Graphs with Neo4j
Faster Insight, Better Reuse, and Scalable Data Foundations Healthcare organisations face growing demand for better use of data: improving operational performance, supporting population health management, enabling AI, and accelerating research. Yet many still rely on fragmented pipelines, duplicated transformations, and slow bespoke data requests. At the same time, the economics of technology have changed. Modern… Continue reading Explaining Medallion Data Architectures in Healthcare