In Part 4 of this blog series, we demonstrated the use of graph analysis with Gremlin for analyzing the digital thread. This probably raised several questions in the reader’s mind. How do we automate these queries so we don’t need to manually enter each one? How can we perform additional analysis on the results with
The data model Syndeia uses for the Digital Thread is a graph, a collection of vertices and edges, each of which can have a name, type and properties (edges can also have a direction). In our case, we have all of those. Referring back to Figure 1, Part 1, the reader can see why this
In the first post in this series, we considered the relationship between Data Science and the Digital Thread. In this post, we will discuss what need to put these ideas into practice. First, obviously, is data. We want all the data about the system and a way to get to it. For that, I’m going
Syndeia is a digital thread platform for enabling model-based engineering (MBE/MBSE) of complex systems. It provides services to author, query, visualize, and curate open digital threads. Though all of Syndeia’s functionality is accessible via its user interface – Syndeia Cloud Web Dashboard and Syndeia local client Dashboards (SysML tool plugins and Syndeia Standalone) – there