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Last updated : Oct 26, 2022
Oct 2022
Trial ? Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.

Since we first mentioned data discoverability in the Radar, LinkedIn has evolved WhereHows to DataHub, the next generation platform that addresses data discoverability via an extensible metadata system. Instead of crawling and pulling metadata, DataHub adopts a push-based model where individual components of the data ecosystem publish metadata via an API or a stream to the central platform. This push-based integration shifts ownership from the central entity to individual teams, making them accountable for their metadata. As a result, we've used DataHub successfully as an organization-wide metadata repository and entry point for multiple autonomously maintained data products. When taking this approach, be sure to keep it lightweight and avoid the slippery slope leading to centralized control over a shared resource.

Apr 2021
Assess ? Worth exploring with the goal of understanding how it will affect your enterprise.

Since we first mentioned data discoverability in the Radar, LinkedIn has evolved WhereHows to DataHub, the next generation platform that addresses data discoverability via an extensible metadata system. Instead of crawling and pulling metadata, DataHub adopts a push-based model where individual components of the data ecosystem publish metadata via an API or a stream to the central platform. This push-based integration shifts the ownership from the central entity to individual teams making them accountable for their metadata. As more and more companies are trying to become data driven, having a system that helps with data discovery and understanding data quality and lineage is critical, and we recommend you assess DataHub in that capacity.

Veröffentlicht : Apr 13, 2021

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