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Product Launch:

data.world has officially leveled up its integration with Snowflake’s new data quality capabilities

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PRODUCT LAUNCH:

data.world enables trusted conversations with your company’s data and knowledge with the AI Context Engine™

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PRODUCT LAUNCH:

Accelerate adoption of AI with the AI Context Engine™️, now generally available

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Business context for every data asset

Enhance Data Understanding with a Semantic Layer

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.

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“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. ”
Luke Slotwinski, VP of Data and Analytics, Prologis

Built on a knowledge graph

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.

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Model anything

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.

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Technical extensibility

Extend your data model to any new sources and apply business context without costly infrastructure reconfigurations or deployments.

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Fully integrated — All your metadata in one place.

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Learn how a knowledge graph unlocks the most comprehensive data discovery

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.

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Use data.world to…

Reflect the language of the business

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.


Ensure interoperability

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.


Support your data fabric

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.”
Mohammed Aaser, Chief Data Officer, Domo

Learn more about semantic layer

Read expert guidance from data.world's industry insiders and thought leaders.

Podcast
Modeling and Semantics are more important than ever, because of AI with Joe Reis

In this episode, Joe Reis, best-selling author of Fundamentals of Data Engineering explains why data modeling and semantics need to take the center stage for AI to truly succeed.
Blog Post
What Is a Semantic Layer, and How Does It Turn Your Data into Knowledge?

It’s taken as read that the data created by your organization is incredibly valuable. Collecting and analyzing your data can lead to improved customer insight, increased...
Podcast
The three most important letters in data & analytics are W-H-Y

Join Tim, Juan and special guest Luke Slotwinski, VP of Data & Analytics at Prologis, to discuss how data leaders can empower their teams by asking for more from their data.
Podcast
Semantic Web for the Working Ontologist

Does the future of data management involve semantic technologies? Is Semantic Web an answer to providing a universal medium to exchange data and knowledge?
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