Search Results for "geospatial data"
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Showing 5 open source projects for "geospatial data"
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From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Superset
Apache Superset is a data visualization and data exploration platform
Apache Superset is a modern data exploration and visualization platform. Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Quickly and easily integrate and explore your data, using either our simple no-code viz builder or state-of-the-art SQL IDE. Superset can connect to any SQL-based data source through SQLAlchemy, including modern... -
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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.
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GeoMondrian is a "spatially-enabled" version of Mondrian. GeoMondrian brings to the Mondrian OLAP server what PostGIS brings to the PostgreSQL DBMS, i.e. a consistent and powerful support for geospatial data. It also provides geo-extensions to MDX.
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SimpleWFS is a 100% Java servlet implementation of the draft OGC standard Web Feature Service (WFS) Simple. This is a Web service interface whose goal is to specify a common, minimal feature set for geospatial-temporal data access.
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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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SOLAPLayers is a cartographic component which enables navigation in geospatial (Spatial OLAP or SOLAP) data cubes. It aims to be integrated into existing dashboard frameworks in order to produce interactive geo-analytical dashboards.
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