Knowledge Graphs in Principle and Practice: Operations, Engineering and Governance [7/8]

Module VII: Operations, Engineering & GovernanceFocusing on production-grade systems and the lifecycle of an industrial KG.Graph Engineering: Hands-on implementation using Neo4j AuraDB and the Graph Data Science (GDS) library.Python Automation: Building end-to-end pipelines for ingestion, PageRank centrality, and Louvain community detection.Operational Bridge: Managing Data Contracts, Provenance, and Schema Evolution.Distributed Reasoning: Scaling logic solvers across billion-node clusters through horizontal and vertical partitioning.