Accelerate innovation with data.world Agile Data Governance for Snowflake

Solve china dataset issues with shared expertise and innovation.
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jrineakter
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Joined: Thu Jan 02, 2025 7:15 am

Accelerate innovation with data.world Agile Data Governance for Snowflake

Post by jrineakter »

What would it do for your company if everyone, from a Snowflake admin to a business analyst, could explore the Data Cloud and find exactly what they need in seconds? And not just raw data but full context, analysis, and provenance that was well understood and trusted.

It's time to stop thinking about data governance as solely a tool for risk, compliance, and data protection. Instead, let's think bigger. At data.world, we believe data governance should fuel productivity and data empowerment. We call this Agile Data Governance, and we're pleased to bring it to Snowflake customers as part of the Data Governance Accelerated Program.

With the Snowflake Data Governance features now natively integrated into data.world, our joint customers enjoy improved productivity through faster, more data inclusive culture with fully formed insights from their Snowflake data assets. Data teams will gain full visibility into the entire data landscape to:

Build revenue-driving data products with a Knowledge Graph

Unlock new insights while protecting sensitive data

Gain actionable knowledge into Snowflake data assets

Meghan Therrian, Indeed, Customer Quote.
Build revenue-driving data products with a Knowledge Graph
data.world is a knowledge-graph based data catalog and governance platform. Because all of the metadata and data is logically organized in a graph rather than a table, it is extremely easy to map data assets to key business concepts, bridging the gaps between business and technology

Getting answers to critical business questions such as “which data products can I use to understand buying patterns and predict churn,” or commands like, “identify redundant third germany whatsapp number data party data sources to save money,” are fairly simple tasks. The illustration below shows how such business-level concepts can be easily modeled as a semantic layer in a graph data structure to improve the data team’s productivity with speedier and more accurate search results.

Knowledge Graph Graphic.
Figure A

Both Snowflake object tagging & dynamic data masking are now natively integrated into data.world. Any user can search and understand how they are being used, who is responsible and which data objects (e.g. columns, tables/views, databases, warehouses, etc.) are related to them. In addition, users can request access to these catalog’s resources and suggest changes even if they are not the data owners. Building a collaboration team environment is the foundation to foster an inclusive data culture that lies at the heart of agile data governance.
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