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Designing and Building Knowledge Graphs from Relational Databases

Knowledge Graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. We observe the adoption of Knowledge Graphs by the Googles of the world. However, not everybody is a Google. Enterprises still struggle to understand their relational databases which consist of thousands of tables, tens of thousands of attributes and how the data all works together. How can enterprises adopt Knowledge Graphs successfully to integrate data, without boiling the ocean?
May 5th 2020, 9am EST
RDF, Data Engineer, Data Analyst, Enterprise Graph, collecting documentation, e-commerce, Data Scientist, business development, SPARQL, Data Management, Data Lake, concept mapping, Knowledge Scientist, Knowledge Graph, Property Graph, attribute mapping, SQL, Application of graphs

Juan Sequeda


Principal Scientist at

E- Tutorials


Seven tutorials on various topics including how to build a knowledge graph, and more

May 4-7, 2020


Knowledge Graphs form an organized and curated set of facts that provide support for models to help understand the world. This conference gathers technology leaders, researchers, academics, vendors — and most importantly, practitioners, who know the discipline. For KGC 2020, attendees can participate from wherever they want in the world, from the comfort of their homes. We will stream the content, provide access to our speakers and support chat and networking as well as give access to all of the content live and on-demand after the event.