Search Results for "schema"
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Showing 10 open source projects for "schema"
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Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
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Over two-thirds of people reuse passwords across sites, resulting in an increasingly insecure e-commerce ecosystem. Learn how passwordless can not only mitigate these issues but make the authentication experience delightful. Implement Auth0 in any application in just five minutes
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TemaTres: controlled vocabulary server
Manage, Publish and Share Ontologies, Taxonomies, Thesauri, Glossaries
Web application for management formal representations of knowledge, thesauri, taxonomies and multilingual vocabularies / Aplicación para la gestión de representaciones formales del conocimiento, tesauros, taxonomías, vocabularios multilingües. For the latest version of code: https://github.com/tematres/TemaTres-Vocabulary-Server -
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Collective Mind Technology
plugin-based framework for systematic and reproducible experimentation
New version moved to http://github.com/ctuning/ck Collective Mind framework (cM) is an open-source plugin-based schema-free repository and infrastructure for collaborative, systematic and reproducible research and experimentation. This 3rd version (started in 2006) helps to implement, preserve, share and reproduce the whole experimental setup as connected modules and data. cM uses crowdsourcing to leverage knowledge and computational resources of multiple users. For example, it includes multi... -
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Large Text File converter
Java Based Heavy-duty utilitity to process large delimited text files
... allows to generate as many output files as required from one input file, and at every row of input file validation, extraction, conversion can be applied. Use case Example: legacy system is to be replaced with new advanced system with different DB schema, and the data provided as 100GB size of delimited text data which is to be inserted in 10 different tables of new system DB after validation,date format conversion, rearrangements, and MD5 hashing implementation. -
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Gnuteca derived schema translated into English, both the tables, field names and the data, have been translated. This is only the SQL part of the Gnuteca project, very vanilla code, should run on anything. The translation is very rudimental.
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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BibteXML is a bibliography schema for XML that expresses the content model of BibTeX – the bibliographic system for use with LaTeX. Stylesheets and conversion tools are provided.
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This is a semantic markup language for creating structured learning objects based on instructional design principles. The markup language includes a set of schema files that can be used for authoring content and supports SCORM outputs.
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CMI Service is a document literal wrapped SOAP style web service based on the IEEE 1484.11.3 schema for the Content Object Communication Data Model. The schema is related to the data model used in the widely deployed SCORM profile for e-learning systems.
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Das Horner-Schema ist ein schnelles und einfaches Verfahren, um einen Funktionswert von Polynomen an einem gegeben Wert zu berechnen. Dieses Projekt beinhält eine Facharbeit und Programmierbeispiele in Pascal und Java zum Thema.
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Software to support interchange of metadata for filk music archives, using an XML schema as the interchange standard.
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Repfabric is a customer relationship management (CRM) software designed specifically for multi-line sales teams (i.e. reps, distributors, wholesalers, dealers, and manufacturers). It streamlines and simplifies the sales process by providing deep integration with email, contacts, calendars, and deal tracking. The platform enables users to track commissions from CRM to sale, make updates directly from mobile devices, and document sales calls using voice-to-text features.
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Up to now, most ontologies are created manually, which is very time-expensive. The goal is it, to produce ontologies automatically via XSLT, which fit as good as possible to a given XML-file resp. XML-Schema-file.
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