AWS Neptune goes GA, Microsoft Cosmos DB releases new features, the query language discussion heats up, TigerGraph announces free developer edition, building enterprise knowledge graphs in the real world with Zalando and Textkernel, and more. May has been another interesting month for the graph database world.

How can data scientists use knowledge graphs? How, and why, can you publish JSON-LD, or write type-safe graph queries using Gremlin? And, what’s the connection between GDPR, metadata, semantics, IBM, and Hortonworks? Let’s start our tour and find out.

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