Enriching Snowflake metadata to derive additional insights

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The Snowflake Data Governance Access History tracks activity including read and write operations on Snowflake’s tables, views, or any columns. By augmenting this additional usage data with data.world metrics, our customers gain deeper insights on the relative popularity of each data asset to the business. Data that is being used most frequently is likely more valuable, while low usage or unused data can be considered for archiving or deletion to save storage space and cost and improve efficiency for data discovery.

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Interoperability - Enriching metadata from Snowflake and Iceberg catalogs
The recent announcement of Snowflake supporting Iceberg catalogs is very exciting. Now, customers can search across all iceberg tables to find and understand data residing in the Data Lakes, just as if they were natively in Snowflake.

data.world is best known as the only data catalog and governance platform built on a knowledge graph. This distinctive architecture sets us apart in the realm of other solutions. Since all of the france whatsapp number data metadata and data is logically organized in a graph, it is extremely easy to map data assets to key business concepts, bridging the gaps between business and technology. By integrating the Iceberg catalogs into data.world Knowledge Graph, we essentially unlock two things:

Improve discoverability across all iceberg and Snowflake tables in one place

Search in Snowsight is confined to each individual Snowflake account that you might operate. This constraint can be overcome by cataloging all your Snowflake assets across accounts into data.world. This cataloging will now extend to Iceberg tables as well - enabling users to search and understand the usage of the Iceberg tables across all Snowflake accounts.

Enable end-to-end lineage across different data sources with business context

By linking the technical metadata and business terminology in data.world’s knowledge graph, 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 party data sources to save money,” are fairly straightforward.

Access: Sharing insights while keeping strong data protection intact
To provide customers a seamless and secure method for sharing data between accounts, Snowflake has introduced two features which work hand-in-hand to make this happen: Snowflake Secure Data Sharing and Marketplace Private Listings. Snowflake Secure Data Sharing ensures that no actual data is copied or transferred between accounts. When coupling it with private listings, data can be easily and securely provided to our Snowflake customers.

In a world where insights are the currency, data.world takes advanced analytics to new heights by sharing event and usage metrics data of our catalog platform through Snowflake listings with our customers. These metrics from data.world provide a profound understanding of how each data asset contributes to an organization's business objectives, including analysis of user interactions with the catalog, how each data resource is consumed, by whom, and for what purpose. The result? Customers now can seamlessly combine data.world’s metrics with additional information to unlock new use cases: