Webinar: Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, Agility

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About the Webinar

Graph Data Modeling is, needless to say, good for graph databases. But it can also serve as a general conceptual/logical model. This webinar explains all aspects, starting with an overview, then moving into differences between Graph Data Modeling and “Classic” Data Modeling, best practices of graph modeling, and modeling in agile manners.

In short, graph data models are:

  • Fast to deliver
  • Flexible enough to allow agile schema evolution as you go
  • Intuitive to read, also for business users
  • Richer in semantics than ERD diagrams
  • Easily mappable to many contemporary types of platforms, not only graph
  • Derivable from many legacy models such as UML, etc.
  • Well suited for knowledge graphs, of course

Do not miss the train! Get started on Graph Data Modeling by participating in this webinar!

About the Speaker

Thomas Frisendal

Graph Data Architect, TF Informatik

Thomas Frisendal, Graph Data Architect and Visual Data Modeler, is an experienced database consultant with more than 30 years on the IT vendor side and as an independent consultant. He has worked with databases and Data Modeling since the late ’70s, and since 1995 primarily on data warehouse projects. He has a strong urge to visualize everything as graphs – even data models!
He excels in the art of turning data into information and knowledge. His approach to information-driven analysis and design is “New Nordic” in the sense that it represents the traditional Nordic values such as superior quality, functionality, reliability, and innovation by new ways of communicating the structure and meaning of the business context as graphs.
Thomas is an active writer and speaker. He lives in Copenhagen, Denmark.

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