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Dgraph empowers developers and organizations to accelerate innovation and make informed decisions based on always-growing data.
Quickly analyze data, build a GraphQL schema, deploy it in Dgraph, and populate the backend without creating database schemas or mapping between GraphQL and tables.
Learn the intricacies involved in Entity Resolution and about Dgraph’s capability to store, dynamically link, and traverse nodes to achieve each process’s needs.
Learn how to use Dgraph to build knowledge graphs, specifically a TKG of IT skills and technology platforms known as "struct-ure/kg".
Monitor distributed business processes across multiple enterprise applications using Dgraph GraphQL API and Lambdas.
Compute similarity functions using graph traversal and computation along the path, eliminating the need for complex matrix extraction and computation. The computed similarity can be stored back in the graph as additional knowledge.
Learn how to design a customer ordering journey using GraphQL and align with concepts from the Domain Driven Design technique. With Dgraph, you get out of the box support for GraphQL APIs and modeling techniques that support rapid iteration.
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