Douyin’s Data Asset Platform: Building Real‑Time, Full‑Coverage Big Data Lineage

Overview

The article provides a concise introduction to the Douyin Group Data Asset Management Platform, a new direction for handling complex business scenarios. It encourages fresh thinking about metadata and data assets, with a particular focus on the evolution and application of big‑data lineage.

Platform Philosophy

Unlike the industry’s typical emphasis on raw metadata, Douyin’s core concept is “data assets.” The platform was built to better serve users, as raw metadata alone cannot meet precise data‑search needs. Consequently, a systematic “manage‑find‑use” data‑asset platform was created.

Key Capabilities

The platform supports a wide variety of data source types, collecting all source metadata into a unified metadata lake that includes full‑link lineage. After collection, data business partners perform secondary operations such as publishing, classification, and grading. Proactive metadata techniques enrich the asset metadata, and an asset‑evaluation system continuously improves completeness.

In consumption scenarios, the platform leverages asset metadata to power search, portal, recommendation, and AI‑driven search capabilities, meeting diverse data‑asset consumption needs.

Full‑Link Lineage Focus

The presentation concentrates on four aspects of the asset system’s full‑link lineage:

Overall introduction of Douyin Group’s lineage.

System architecture of the lineage platform.

Application scenarios of the lineage.

Future outlook.

Lineage Goals

Douyin aims to build a fully covered, real‑time, accurate big‑data lineage and use lineage data to enable scenario‑wide applications that improve efficiency. Data lineage is considered the foundational capability of metadata; enhancing it is essential for a more efficient data platform.

Why Build Lineage?

View the chain: With millions of tasks across the group, lineage helps clarify relationships between business processes.

Ensure quality: Daily online task changes require lineage‑based impact assessment to maintain production quality.

Guarantee security: Efficient discovery of sensitive data relies on lineage propagation.

Reduce cost: Accurate lineage enables resource optimization and low‑value asset identification for governance.

Therefore, constructing robust big‑data lineage is urgent for Douyin.

Article excerpted from “A Plain Big‑Data e‑Book” (first chapter).

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