Rethinking Data Catalogs: The Promise and Pitfalls
summary
Modern catalogs often sit unused despite integrations with Snowflake, Databricks, Tableau, dbt and Monte Carlo; survey numbers cited are 80% think a catalog is not used as expected and 82% see adoption as a struggle. Concrete fix: start from prioritized business questions, map personas and their golden paths, capture business context and publish SLOs/data contracts so operational teams know freshness and change rules. Measure value by number of prioritized use cases published, percentage of SLOs met and reduction in lead time from discovery to value.
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chapters (9)
- 0:00Introduction
- 1:47What is a data catalog
- 4:13Why modern catalogs fail
- 7:02Pitfalls in adoption
- 13:04When not to use a catalog
- 14:31Redefining with golden paths
- 19:07Catalog as collaboration tool
- 23:27Measuring catalog success
- 25:17Key takeaways
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