Data Weaving in Data Analysis and Governance: Challenges, Implementation, and Future Outlook

This article explores the challenges of data analysis and governance, introduces the concept of data weaving and its application in an indicator platform, details key technologies such as data virtualization, intelligent acceleration, and active metadata, and outlines current progress and future plans.

Big DataIntelligent Accelerationactive metadata

0 likes · 28 min read

Data Weaving in Data Analysis and Governance: Challenges, Implementation, and Future Outlook

JD Retail Technology

Nov 19, 2024 · Big Data

Building an Intelligent Data Governance System with Active Metadata: JD Retail Experience

This article details JD Retail's experience building an intelligent data governance system using proactive metadata, covering challenges in data management, the design of a comprehensive governance framework, lifecycle evaluation models, and automated data backfill solutions to improve efficiency, cost control, and operational safety.

Data FabricData Governanceactive metadata

0 likes · 20 min read

Building an Intelligent Data Governance System with Active Metadata: JD Retail Experience

Data Thinking Notes

Jul 4, 2024 · Big Data

How Active Metadata Revolutionizes Data Governance and Cuts Costs

This article examines the growing challenges of data management—such as asset discoverability, architectural rigidity, development quality, and rising resource costs—and presents a comprehensive data‑governance framework that leverages standards, agile architecture, development isolation, and active‑metadata‑driven lifecycle evaluation to improve efficiency, reduce expenses, and enable intelligent, automated data back‑filling.

Big DataData GovernanceStorage Optimization

0 likes · 17 min read

How Active Metadata Revolutionizes Data Governance and Cuts Costs

DataFunSummit

Jun 3, 2024 · Big Data

Data Governance and Active Metadata Practices at JD Retail

The article outlines JD Retail's data management challenges—including asset awareness, architectural agility, development quality, and rising resource costs—and presents a comprehensive data governance framework that leverages data standards, agile architecture, development isolation, resource optimization, and active metadata to achieve intelligent lifecycle evaluation, automated back‑fill, and future‑oriented data fabric improvements.

Data GovernanceData LifecycleStorage Optimization

0 likes · 18 min read

Data Governance and Active Metadata Practices at JD Retail

DataFunTalk

Jun 14, 2023 · Big Data

Active Data Governance with Operator-Level Lineage: Practices and Exploration

This article presents Big Data company's active data governance practice using operator-level lineage, detailing the shortcomings of traditional lineage, the implementation of indicator chain governance, and the exploration of proactive model governance to achieve smarter, more precise data management.

Big DataData GovernanceOperator-Level Lineage

0 likes · 14 min read

Active Data Governance with Operator-Level Lineage: Practices and Exploration