Big Data 5 min read

How Douyin’s Data Asset Platform Revolutionizes Big Data Lineage

This article introduces Douyin Group’s Data Asset Management Platform, explaining its shift from traditional metadata to a comprehensive data‑asset approach, detailing the platform’s capabilities, and focusing on the evolution and application of full‑link data lineage across four key topics to improve visibility, quality, security, and cost efficiency.

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How Douyin’s Data Asset Platform Revolutionizes Big Data Lineage

Overview Douyin Group has built a one‑stop Data Asset Management Platform that goes beyond conventional metadata collection to a systematic "manage, find, use" data‑asset solution. The platform aggregates diverse data source metadata into a unified metadata lake, including full‑link lineage, and supports secondary operations such as asset classification, grading, and lifecycle management.

The platform enriches asset metadata through proactive methods (as suggested by Gartner), establishes an asset evaluation system to continuously improve completeness, and powers productized capabilities like search, portal, recommendation, and AI‑driven search for data‑asset consumption.

Focus on Full‑Link Data Lineage

The discussion is organized around four points:

Overall introduction of Douyin Group’s data lineage.

System architecture of the lineage platform.

Application scenarios of the lineage.

Future outlook.

Key motivations for building comprehensive, real‑time, accurate big‑data lineage are:

Visibility: With millions of tasks across the group, lineage helps understand business relationships.

Quality assurance: Frequent online task changes require lineage‑based impact assessment.

Security: Efficiently discover sensitive data propagation via lineage.

Cost reduction: Identify low‑value resources and drive governance through lineage insights.

Building robust big‑data lineage is therefore urgent for Douyin Group.

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Big Datametadata managementDouyinData Assets
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