Introducing Eureka?!

At?data.world, we believe that when the world’s data is transformed into knowledge, opportunities emerge for everyone. This is accomplished by creating a connected web of data, metadata, and organizational knowledge. It’s why data.world was the first modern data catalog built on a knowledge graph and the only one to operationalize its benefits for everyday use.

Why Knowledge Graphs

Why did we build our catalog on a?knowledge graph?and not relational or traditional graph data stores? Just look at Facebook, Amazon, Google, and Netflix. What do they all have in common? Their intelligent, highly adopted user experiences run on knowledge graphs under the hood. Knowledge graphs changed the game in big tech and they can have a similar impact in the enterprise.

Current state of affairs

The problem with existing data catalog solutions is twofold:

First,?top down governance has failed us. We’ve tried to institutionalize governance and this has led to the creation of more silos, barriers and has slowed the path to insight. Data teams are not growing as fast as the complexity of data, systems, and business questions that need to be answered. We need a modern, intelligent approach that accelerates the path to insight, saves time and is scalable.

Second,?machine learning is not a silver bullet. Without context, traditional approaches to automation are often cosmetic, incorrect and incomplete. Some data catalogs leverage simplistic machine learning that doesn’t help operationalize or create trusted data products. Others deliver complex, top-down workflows that discourage participation and fail to address the challenges of siloed data. Only a knowledge graph can navigate the complex relationships between people and data to deliver relevant, contextual automations.

What’s the solution to address these challenges?

Introducing Eureka?

We’re excited to announce?Eureka?, a new suite of knowledge-graph powered data catalog capabilities. Eureka? is the face of data.world’s knowledge graph, helping data teams save time and scale, so your organization can do governance better and more comprehensively. Now you can accelerate time to insight with your data catalog at the center.?

Eureka? is made up of four capabilities:

Eureka Automations??

data.world with Eureka Automations? enables you to build your data catalog quickly and at scale with intelligence. Before, you would have to do manual work to set up your catalog such as add relationships, tags, policies, stewards. Machine learning can help but lacks the key context and knowledge of your organization. Now you can use data.world’s knowledge graph and semantic query engine to automatically populate people, policy, context-oriented?fields, and all types of relationships.?

Some examples:

• Automatically generate a business glossary from database metadata and connect it to tables and columns
• Automatically tag and organize your metadata
• Automatically generate relationships
• Automatically apply people roles and assignments
• Automatically propagate sensitive data types and apply governance policies
• Automatically calculate popularity, complexity, and quality scores

Read the rest of this post on?Data Prose,?the data.world blog, to see the other powerful capabilities of Eureka?, and learn how its suite of knowledge-graph powered catalog capabilities that activate metadata and speed time to data-driven answers and insights.

This piece was written by Tim Gasper and Juan Sequeda, and originally appeared on Data Prose, the?data.world blog.