Join data.world's Chief Data and Strategy Officer, Jon Loyens, to review the Coalesce agenda and hear what we're most excited about attending.
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Data is your organization’s most valuable asset, but alone it lacks the context your analysts need to make intelligent decisions. data.world’s knowledge-graph-powered data catalog is inherently semantic, enabling a consistent, enterprise-wide understanding of your data.
Get a Demo“The power of the knowledge graph behind data.world really drew us in. Because with the knowledge graph, we have the ability to establish relationships between data, business, and decision elements. ”
Represent business terminology as concepts and relationships that are understandable by people and machines in the exact same way. This is the technology that powers data.world’s semantic search and discovery engine.
data.world adheres to strict standards managed by the World Wide Web Consortium (W3C) including RDF, OWL, and SPARQL, allowing you to model anything – even policies, metrics, and people.
Extend your data model to any new sources and apply business context without costly infrastructure reconfigurations or deployments.
This whitepaper provides an introduction to the broad spectrum of search and details how knowledge graphs are enabling data catalog users to explore far beyond data and metadata management.
data.world creates a logical view of your data using business-friendly terms. And when everyone works from a common frame of reference, you can accelerate time-to-insight and develop powerful data products using any data anywhere.
Your data architecture must evolve with your business, so it’s important that your catalog is flexible enough to support new applications, schemas, and metadata models. data.world’s knowledge-graph-based foundation ensures interoperability with your architecture today and into the future.
Connect data and knowledge at scale in a distributed and decentralized manner. data.world simplifies data integration, providing a single, semantically organized view of your trusted data.
“97% of employees in enterprise organizations are non-technical and unable to work with raw data.”
