Search Results for "kettle data integration"

This is a sample / starter architecture project for building a modular monolith application using Domain-Driven Design (DDD) principles in .NET. It aims to show how to structure a monolithic application into modules (bounded contexts), while preserving separation of concerns, maintainability, and scalability, without splitting into microservices. Showing the application of best practices and object-oriented programming principles. Presentation of some architectural considerations, decisions,...

This project provides an open-source framework for the generation of high quality source code which is suitable for safety-critical applications and certification (e.g DO-178B). Currently a Simulink and Stateflow front-end and a C-language back-end are included. Some of the strengths of UCGN: - Clearly readable source-code - Separation of functionality and parameters ("tunable parameters") - Robust data storage (compile-time static structures in favor of pointer run-time constructs) -...

jupyter-themes brings theme management to classic Jupyter Notebooks with a command-line tool that can restyle the interface, code cells, and UI chrome in seconds. It ships a catalog of popular dark and light themes and lets you customize fonts, font sizes, cell widths, and toolbar visibility so the notebook matches your preferred reading and coding ergonomics. The theming system adjusts CodeMirror syntax highlighting to keep code legible against chosen backgrounds and provides options to...

tufte-latex provides LaTeX classes for handouts and books inspired by Edward Tufte’s design principles, emphasizing clarity, readable measure, and rich marginalia. The classes feature wide side margins that host sidenotes, citations, and small figures, letting the main text flow without heavy footnote clutter. Built-in environments make it easy to place margin figures and tables, call out important points, and keep references close to the text they annotate. The typography favors generous...

...With a flexible Open Data Access framework, developers can write custom data drivers to access data from any source, including Big Data sources like Apache Hadoop, Cassandra, and MongoDB, along with all traditional relational databases, Flat Files, XML data streams, and data stored in proprietary systems. Built for embedding, BIRT includes APIs for data access, chart generation, output formats, content execution, and integration within larger applications.