Technical Architecture

To deliver, robust, practical, scalable enterprise applications, you should treat your graph database with the same care, attention, and good data governance as any other database in your data architecture.

A discussion on the synergies between GraphQL and Graph Databases, data architecture and how ontology models provide the special ingredients.

The importance of establishing baseline technical viability as early as possible in technology delivery programs.

A discussion of AI and Data Science delivery anti-patterns, their impacts on data platform technical architectures, and strategies for reducing complexity and mitigation.

An architecture pattern for pull-based, automated content enrichment in media organisations.

A retrospective on resource identity and the practical implications of httpRange-14 following client handover on a very large semantic publishing program to a financial services client.