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It is a trigger based solution for SCD in PostgreSQL
In general it is a data versioning/historisation solution based on triggers. Slowly changing dimensions are only the prominent specimen of dimensional modelling but relational modelling can take advantage from it too. Its aim is to extract as much information from the information schema/catalogue of the data base to keep configuration as simple and robust as possible.
CAM XML Editor for XML+JSON+Hibernate+SQL Open-XDX sponsored by Oracle
The CAM editor is the leading open source XML Editor/Validation/Schema toolset for rapidly building / deploying XML /JSON /Hibernate /SQL data /Forms applications. Visual WYSIWYG data design, rule entry wizards + drag & drop dictionary components. Will import, analyze / refactor from XML Schema / JSON.
Oracle is a proud enterprise sponsor; with NIEM.gov support. Do SQL data import/map+ Open Data API delivery+ Hibernate JPA + UI Forms/Pencil
Makes XSD schema (default, flatten, NIEM, &...
A bunch of miscillaneous scientific simulation projects not important enough to have their own project. Includes Gaspard-Rice chaotic scattering simulation, sea ice emissivity modelling, IDL library and any others I create or find kicking around.
DataScript is a formal language for modelling binary datatypes, bitstreams or file formats. This project provides a parser and code generator for generating Java codec classes from a DataScript specification.
MetaBoss is an integrated suite of tools for design, development and management of software systems through modelling. It utilises MDA (Model Driven Architecture) concepts and is primarily oriented at enterprises using Java based tools and technologies.
The first complete web based front end to tdbengine.
Maintain your tdbengine projects and databases as easily as possible with this new web interface. Data manipulation, modelling, indexing, searching, exporting, etc. will be included.
Java Graphical Process Designer designs workflow/business process modelling (bpm) diagrams and exports (and imports) them, usually as XML, to workflow engines after model validation. It allows quick and easy integration of new workflow formats.
The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.