Graph Data Modeling for NoSQL and SQL

Data modeling is still seen as synonymous with SQL tables, normalization, and ERD diagrams, even though the world has moved to NoSQL and Graphs. Labeled property graphs are the natural replacement for legacy data modeling techniques such as normalization and tables.

Data modeling is about communication of structure. Visualization of structures comes naturally to property graphs. Humans navigate using visual perception (80%), so the need to visualize is a given. And it enforces:

Solution models
Normalization as a visual process
Data modeling for NoSQL and even SQL
Visually compelling data models, which communicate effectively
Provision of agile user stories on the data side

If you are a NoSQL developer or even need to model data in a SQL context as you go, then this is for you.

Thomas Frisendal 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, primarily on data warehouse projects since 1995. His area of excellence lies within the art of turning data into information and knowledge.

Since 2005 he has specialized in business analysis, concept "harvesting" and mapping, modeling of information and data, as well as design of analytical solutions. 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.

Thomas is an active writer and speaker and works as a Data Warehouse Architect. Thomas lives in Copenhagen, Denmark.