DataEngBytes 2023 - MEL-T1-05 - Izzudin Hafiz
summary
Claims that data teams commonly rely on Excel as primary catalog and that most teams cannot confidently answer "what data do we have" leading to lost trust; proposes a platform (DQ/Decube) that connects catalogs to sources, runs continuous declarative checks for volume freshness schema conformity and value distributions, and maintains automated lineage so classifications and impact analysis propagate downstream. Implementation goal is low-effort adoption and real-time visibility so incidents are detectable and root causes traceable.
AI-written summary · about
chapters (12)
- 0:00Introduction
- 1:50Mid to large data teams issues
- 4:19Data ecosystems complexity
- 6:28Data cataloging solutions
- 9:57Effective data catalogs requirements
- 11:21Data observability
- 13:29Data observability applications
- 14:55Data trust importance
- 16:43Implementing data observability
- 17:47Data governance role
- 20:34Data reliability and trust
- 23:49Q&A
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