Search Results for "java xml"
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Showing 6 open source projects for "java xml"
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GETL
ETL engine based on Groovy
P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with... -
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Metl ETL Data Integration
Simple message-based, web-based ETL integration
Metl is a simple, web-based ETL tool that allows for data integrations including database, files, messaging, and web services. Supports RDBMS, SOAP, HTTP, FTP, SFTP, XML, FIXLEN, CSV, JSON, ZIP, and more. Metl implements scheduled integration tasks without the need for custom coding or heavy infrastructure. It can be deployed in the cloud or in an internal data center, and it was built to allow developers to extend it with custom components. -
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A multi-user password management web application designed for organizations to store passwords. Written in Grails, Groovy and Java.
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ITMM, developed by the IASC Foundation XBRL Team, is a GWT based web application, which allows to browse and combine XBRL Taxonomy modules. It therefore combines XML, XBRL and Java related technologies. Visit http://xbrl-ifrs.org/ITMM to see ITMM working
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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De Key Data Monitor
This is a solution to help an enterprise to monitor their key data
This is a solution to help an enterprise to monitor their key/sensitive data. It is composed of seven major components: k-data modeling, k-data capture, k-data store, k-data watcher, k-data metrics, k-data view and k-data action.
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