Slides: [ Ссылка ] | The graph data model is the most versatile and flexible data model supported by DataStax Enterprise. With the right of choice comes the responsibility to choose. This talk provides a necessary background on property graphs, their usability and common use cases, and dives deeper into techniques for graph data modeling. We generalize and demonstrate how graph schema design fits into the conventional conceptual-logical-physical schema design framework using concrete examples and visual diagrams. Finally, we discuss how to optimize a graph data model for performance.
About the Speaker
Artem Chebotko Solutions Architect, DataStax
Dr. Artem Chebotko is a Solutions Architect at DataStax. His core expertise is in data modeling, data management, data mining, and data analytics. For over 10 years, he has been leading and participating in R&D projects on NoSQL, Graph, XML, Relational, and Provenance databases. He is the inventor of the Big Data Modeling Methodology for Apache Cassandra and the author of over 50 research and technical papers published in international journals and conference proceedings.
