5 projects for "mapping data" with 2 filters applied:

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  • 1

    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...
    Downloads: 0 This Week
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  • 2
    Talend Spatial Module (aka Spatial Data Integrator or SDI) is an ETL tool for geospatial. Based on Talend Open Studio, input, output and transform geocomponents are available. IO components read/write GIS formats(eg.PostGIS, GeoRSS). Transformers all
    Downloads: 6 This Week
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  • 3
    Better SQL in java! Offering a seamless java class mapping and SQL-like domain-specific language implemented for number of commercial and open-source DBMS
    Downloads: 0 This Week
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  • 4
    GeoKettle
    GeoKettle is a powerful, metadata-driven spatial ETL (Extract, Transform and Load) tool dedicated to the integration of different data sources for building and updating geospatial databases, data warehouses and services.
    Downloads: 5 This Week
    Last Update:
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 5
    Toolsverse ETL Framework

    Toolsverse ETL Framework

    Open source Extract Transform Load engine written in Java

    ...It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements * Java 1.6 and up * At least 4 MB of RAM New in 3.2 (01/18/2013) * Improved auto-update functionality * Bug fixes
    Downloads: 0 This Week
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