Connect your enterprise data ecosystem with DISQOVER
DISQOVER sits at the heart of enterprise data and analytics ecosystems, providing a consistent semantic and knowledge framework that adds value to every other component. Interoperability is a core principle of DISQOVER's architecture at every level, from data ingestion to the knowledge graph to user experience.
Thanks to a powerful and easy-to-use interface, scientific researchers become true data citizens.
Data Ingestion Engine
For ingesting data, DISQOVER is capable of connecting to a wide range of enterprise technologies and formats, from cloud providers like Azure Blob storage and Amazon S3 to more traditional formats. Integrations with data providers such as CENTree, Biorelate and Cortellis, and text mining solutions such as TERMite and Amazon Comprehend further accelerate time to value.
DISQOVER API
DISQOVER provides full API access with additional Python libraries, empowering data scientists to carry out rapid analysis in electronic notebooks, Python or R, and supporting cross application journeys through integrations with other tools or bespoke solutions.
DISQOVER UI
DISQOVER provides full API access with additional Python libraries, empowering data scientists to carry out rapid analysis in electronic notebooks, Python or R, and supporting cross application journeys through integrations with other tools or bespoke solutions.
Resource Description Framework (RDF)
DISQOVER leverages RDF to facilitate seamless data import and export, ensuring data fidelity, interoperability, and compliance with global standards.
DISQOVER's import and export functionality empower users to maintain high-quality data workflows. By adhering to W3C standards, the system ensures the usability and integrity of RDF data throughout its life cycle. This whitepaper provides a detailed overview of DISQOVER's RDF capabilities, including format support, compliance validation, and practical integrations.
Are you ready to discover new insights in your data?
%20DISQOVER%20ONTOFORCE.png)
