Metadata Management For The Masses – Curate, Curate, Curate!
summary
Argues that enriched metadata and active curation turn a technical schema list into usable data products, cutting the 60–70% of time IDC says consumers spend just finding data and aiming for “nothing to data” in 72 hours with zero meetings. Cites 181 zettabytes by 2025 as context and shows practical moves: a logical data model layered over physical sources, curated data as product datasets mapped to attributes, column classification at entity level to find sensitive fields, observability for quality, and federated ownership and responsibility to reduce friction and build trust.
AI-written summary · about
chapters (13)
- 0:00Introduction and speaker intro
- 2:55What is metadata
- 4:20Data growth and challenges
- 7:13Purpose of data and business impact
- 10:28Why metadata management matters
- 12:14Data as a product concept
- 16:25Who are data consumers
- 18:50Data stewardship and ownership
- 19:35Context in logical data models
- 23:06Describing data sets effectively
- 24:31Data quality and metadata
- 26:18Ownership and responsibility
- 28:06Metadata and data intelligence
related talks
29mRAG for Data Engineers: Why Your Metadata Is the Missing Piece
46mJourney of metadata
11mIntroducing an Enhanced Metadata Broker for Manufacturing Data Spaces
29mPanel: Building and scaling a metadata management program
24mDataEngBytes 2023 - MEL-T1-05 - Izzudin Hafiz
51mData Mesh – Successful with People, Process, and Technology
36mIntroducing Data Mesh A Paradigm Shift In Analytical Data Management Architecture
59mThe Great Data Debate