Data Integration Tools

View 504 business solutions
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  • 1
    A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
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  • 2

    RDF Content Provider for iQser GIN

    Plugin to connect RDF sources with the GIN Server

    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.
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  • 3
    The Staticly Typed Advanced Recognition System is an extensible and flexible customer data integration solution toolkit.
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  • 4
    Searchkick

    Searchkick

    Intelligent search made easy

    Searchkick brings powerful, production-ready search to Rails by mapping Active Record models into Elasticsearch with sensible defaults and easy customization. It supports language analyzers, stemming, synonyms, misspelling tolerance, and highlighting so search results feel natural to end users. Indexing is model-centric: you declare what fields to index, add computed fields, and trigger reindexing via callbacks or background jobs, with options for zero-downtime rolling reindexes. On the query side, a simple API covers relevance tuning, boosting, filtering, faceting/aggregations, and pagination, while still allowing direct access to advanced Elasticsearch features when needed. It integrates with Rails scopes and authorization patterns, making it straightforward to return only records the user can see. By wrapping complex search infrastructure in a clean Ruby interface, Searchkick lets teams deliver fast, relevant search experiences without becoming experts.
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  • 5
    SnapLogic is an Open Source Data Integration framework that combines the power of state-of-the-art dynamic programming languages with standard Web interfaces to solve today's most pressing problems in data integration.
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  • 6

    Stanford Data Miner

    Tools for integration and analysis of heterogeneous immunological data

    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.
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  • 7
    A software to automate tasks, monitor and data integration in Windows systems, using a graphical interface.
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  • 8
    Interoperability enabling tools, for exchanging technical data between companies, or for internal data integration, alpha-numeric, 2D or 3D data. Compatible with ISO 15926 and expressed in ontology using RDF/OWL.
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  • 9
    Steps for Kettle ( data integration by pentaho) to manage ( import and export ) TinyErp information.
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  • 10
    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.
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  • 11
    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.
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  • 12
    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.
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  • 13
    bio2rdf
    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.
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  • 14

    data integration

    Integration de données en utilisant Oracle

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  • 15

    di-date-dimension-plugin

    Pentaho Data Integration plugin to supply to resolve date dimension

    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.
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  • 16

    di-history-join-plugin

    Plugin for Pentaho Data Integration used to supply a method to join tw

    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.
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  • 17

    incubator-seatunnel

    SeaTunnel is a distributed, high-performance data integration platform for the synchronization and transformation of massive data (offline & real-time).

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  • 18
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  • 19
    A tool for autonomous and virtual topical data integration using the focused web-harvesting method.
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  • 20
    optPBN

    optPBN

    An optimization toolbox for probabilistic Boolean networks

    We introduce optPBN, a Matlab-based toolbox for the optimization of probabilistic Boolean networks (PBN) which operates under the framework of the BN/PBN toolbox from Shmulevich et al. optPBN offers an easy generation of probabilistic Boolean networks from Boolean rule-based modeling and allows for flexible measurement data integration from multiple experiments and a subsequent integrated optimization problem generation which then can be solved with different optimizers. Thereby optPBN allows for the identification of Boolean functions in the model from a given set of candidate Boolean rules which can be applied for network inference study. In addition, it also permits the determination of selection probabilities of Boolean rules in PBNs which can be further used to determine the influence of parent nodes in biochemical interactions.
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  • 21
    Peer to peer data integration tool
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  • 22

    pdi-jira

    JIRA plugin for Pentaho Data Integration

    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.
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  • 23

    rdi-exchange-prototype

    Rights Exchange prototype from the Rights Data Integration project

    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.
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  • 24
    reticulate

    reticulate

    R Interface to Python

    reticulate is an R package from Posit that creates seamless interoperability between R and Python. It lets you call Python modules, classes, and functions from within R, automatically translating between R and Python data structures. Useful for combining Python tooling with R projects, data analysis, and RMarkdown reports.
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  • 25
    scArches

    scArches

    Reference mapping for single-cell genomics

    Single-cell architecture surgery (scArches) is a package for reference-based analysis of single-cell data. scArches allows your single-cell query data to be analyzed by integrating it into a reference atlas. By mapping your data into an integrated reference you can transfer cell-type annotation from reference to query, identify disease states by mapping to healthy atlas, and advanced applications such as imputing missing data modalities or spatial locations.
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