Open Source Java Data Integration Tools - Page 2

Developing a "bridge" to facilitate transfer of data between various databases(ith dis-similar schemas). JDBC and XML would be used.

N-Browse is a client-server package for interactive visualization of network data with heterogeneous types of links, intended for ease of use and designed using a generic database schema for data integration and visualization.

No Pentaho Pentaho Data Integration is intended to take an early version 3.x of Pentaho Data Integration, remove most of the features Pentaho added and as such starting a new more stable version of PDI.

Open Information Integration Tool Suite (Open II) is used by analysts and programmers to accelerate data integration and harmonization across organizations. OpenII has a neutral schema repository for browsing and comparing all sorts of data models. OpenII is built as a Rich Client Platform Application on top of Eclipse 3.x. Developers need to download Eclipse, install the RCP support, the Fatjar plugin and the Delta Pack in one of the 3.x flavors. Release Notes Release Date: Jan 2014 Build Version: 1.0.2666 Notes: 1. Now support for AVRO and HCatalog imports 2. Better support for OWL 3. New OWL and Containing Relationship viewers 4. Added case insensitive option in exact matcher for Harmony

This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. This project is also known as "Aggregate Profiler" Resful API for this project is getting built as (Beta Version) https://sourceforge.net/projects/restful-api-for-osdq/ apache spark based data quality is getting built at https://sourceforge.net/projects/apache-spark-osdq/

GIN Server is a semantic middleware for easy data integration and automized analysis. The extendable architecture allows to plugin in data sources, analytics and event handling. This RDF Content Provider enables access to Semantic Web Content as an RDF file or SPAEQL endpoint.

An extensive description of this system is published in the Journal of Translational Medicine (http://www.translational-medicine.com/). In brief, the system consists of two main web applications, a data integration app and a data exploration app. The data integration app is a fully custom Java "Web 2.0" product called Sherpa. Sherpa uses Seam, a platform integrating Asynchronous JavaScript and XML (AJAX), JavaServer Faces (JSF), the Java Persistence API (JPA), and Enterprise Java Beans (EJB) 3.0. The data exploration app is an open source business intelligence product called JasperServer (version 3.7), customized through supported configuration changes. Both apps use MySQL for back-end data persistence. Currently, the documentation contained herein is not intended to provide comprehensive instructions on installing and configuring the system. Please contact a project administrator for more information.

Steps for Kettle ( data integration by pentaho) to manage ( import and export ) TinyErp information.

This project is to develop web applications and data integration functions to provide information on the collection records, ecology, geographic distribution, and taxonomic concepts of the vascular flora of the region.

Tracking and reporting system for the processing, monitoring, and enforcement of permits issued by the Oklahoma State Department of Environmental Quality. Features web access, CDX gateway for the EPA, and an automatic document assembly system for Word.

XIForge is a team of IT volunteer to explore new free open source technology framework and platform. We focus Pentaho and OpenBravo ERP. Our current hosted project includes Pentaho Data Integration Parse JSON String plugin. Team founder is Reid Lai.

The Bio2RDF project aims to transforms silos of life science data into a globally distributed network of linked data for biological knowledge discovery. Bio2RDF creates and provides machine understandable descriptions of biological entities using the RDF/RDFS/OWL Semantic Web languages. Using both syntactic and semantic data integration techniques, Bio2RDF seamlessly integrates diverse biological data and enables powerful new SPARQL-based services across its globally distributed knowledge bases.

Pentaho Data Integration plugin to supply a function to resolve, and insert if it doesn't exist, the date dimension. It calculates all calendar data and you must supply the table info used to save the information.

This plugin supply a method to join two tables using the date-from and date-to history. It use the two dates that indicate the life of the record and join using a query (like the database join plugin) to resolve the record's story of the two entities.

Ontology Representation and Data Integration (ORDI) is middleware framework to allow enterprise data integration via RDF-like data model.

Peer to peer data integration tool

Using this PDI plugin you can connect any JIRA service even using SSL connection and perform JSON data extraction over the results. JQL is used to obtain data from the JIRA remote service.

Implementation in Java of a prototypical Rights Exchange as defined in the standards of the Linked Content Coalition (http://linkedcontentcoalition.org) and the Rights Data Integration project (http://www.rdi-project.org). Shows how to parse CRF-XML data containing Creation, Rights, RightsOffer, and Party data, to pose and respond to queries of a Hub, and to convert CRF-XML data into HTML for display.

Apatar is an open source Extract, Transform, and Load (ETL) project. Modular architecture delivers 1. Visual job designer/mapping 2. Connectivity to all major data sources 3. Flexible Deployment Options (GUI, or server engine with JVM, or embedded).