TRIADB - Associative Semiotic Hypergraph Database Framework in Intersystems

Announcement

Athanassios Hatzis · Jan 2, 2018

Connected Data London Conference

TRIADB is an emerging unique and valuable technology in NoSQL database modelling and BI analytics. The following video is from a presentation and demonstration of TRIADB prototype implemented on top of Intersystems Cache database and driven with a CLI in Python (Jupyter-Pandas). In fact this is the second time in the past year that a prototype based on this technology is implemented and demonstrated. The first one was built on top of OrientDB multi-model database and driven by a Mathematica notebook.

https://www.youtube.com/embed/BiEAbpCOC1A?rel=0
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Unfortunately the light conditions were not ideal for the demonstration of our system. We recommend you visit the links at the right side of the following table to view Pandas notebooks in addition to the video above. You may also start the video at the corresponding time.

Time (min:sec)	Pandas Notebooks in HTML format
05:00	Traversal and Hypergraph
09:00	Hypernodes, Hyperedges and Tuples
11:45	Hypercollections
13:00	Data Model
15:30	Mapping

And these are the slides from the presentation

Technical Objectives

Integration of multiple data resources, automatic correlation, aggregation and exploration based on Associative Semiotic Hypergraph technology (see S3DM/R3DM).

Key Differentiating Factors

Multi-Perspective Database Framework : tuples, domain sets, objects and hypergraph
Act both as an operational and data warehouse database with a 360 degree view
Automatic fixed indexing schema instead of user-defined secondary indexing
Manage the references instead of data. Fully referenced and relational based on fixed composite indexing.
No duplicates but single value instance instead based on system defined primitive data types
Mapping and consolidation of multiple data resources on user-defined data models
Developer friendly and easily programmable thanks to powerful functional commands in Python
Functional operations (e.g. Get, Add) with standard parameters instead of a query language with variable parts

Challenge

Prove that a system built with this technology can be beneficial for either a single-user and/or competive for a big enterprise with suitable use-cases

Next milestone

A better PoC prototype preferably sponsored by Intersystems Cache or perhaps another database vendor. We are actively looking for teammates and partners for the next phase of the project.

TRIADB - Associative Semiotic Hypergraph Database Framework in Intersystems Cache with Python Pandas

Connected Data London Conference

Unfortunately the light conditions were not ideal for the demonstration of our system. We recommend you visit the links at the right side of the following table to view Pandas notebooks in addition to the video above. You may also start the video at the corresponding time.

And these are the slides from the presentation

Technical Objectives

Integration of multiple data resources, automatic correlation, aggregation and exploration based on Associative Semiotic Hypergraph technology (see S3DM/R3DM).

Key Differentiating Factors

Multi-Perspective Database Framework : tuples, domain sets, objects and hypergraph

Act both as an operational and data warehouse database with a 360 degree view

Automatic fixed indexing schema instead of user-defined secondary indexing

Manage the references instead of data. Fully referenced and relational based on fixed composite indexing.

No duplicates but single value instance instead based on system defined primitive data types

Mapping and consolidation of multiple data resources on user-defined data models

Developer friendly and easily programmable thanks to powerful functional commands in Python

Functional operations (e.g. Get, Add) with standard parameters instead of a query language with variable parts

Challenge

Prove that a system built with this technology can be beneficial for either a single-user and/or competive for a big enterprise with suitable use-cases

Next milestone

A better PoC prototype preferably sponsored by Intersystems Cache or perhaps another database vendor. We are actively looking for teammates and partners for the next phase of the project.