Read about the improvements of GraphDB 10 Connectors, which offer more more flexibility and further filtering capabilities when synchronizing RDF data to non-RDF stores
Read about the advantages and disadvantages of different ways to do entity linking based on reconciliation, inference, SPARQL and Kafka
Read about our guided tour through data transformation, ingestion, updates and virtualization with GraphDB
Read about the mechanisms for building a big enterprise software architectures by embedding graphs via GraphQL, Federation and Kafka
Read our final post from this series focusing on how GraphDB and Ontotext Platform provide an architecture that can work on any infrastructure resulting in a well-deployed and well-visualized knowledge graph.