DataEngBytes 2023 - MEL-T3-06 - David Colls
summary
Maps seven specific Lean wastes onto data production, shows how value‑stream mapping and data as a product stop overproduction and inventory, and demonstrates practical fixes: a streaming rebuild that cuts delivery from three months to 15 minutes, detection of quality issues within that window, and program improvements that reduce failure demand from 60 to 20, double delivery capacity, cut incident detection from hours to minutes and slash manual testing by 80%.
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chapters (17)
- 0:00Introduction
- 1:02Data pipelines meaning
- 6:16Overproduction in pipelines
- 8:21Inventory waste in data
- 11:31Overprocessing untrusted data
- 13:16Transportation and lineage loss
- 14:41Motion waste in workflows
- 15:46Waiting costs in data work
- 17:31Defects cumulative impact
- 18:57How wastes compound
- 20:23Five lean principles
- 22:33Value as a product
- 23:58Value stream mapping
- 25:42Flow in data pipelines
- 27:30Pull in consumption
- 28:33Continuous improvement
- 29:37Further reading
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