Building Case for Standardized Data Pipeline for Organizational Data
summary
Zeta presents a case study showing how they reduced complexity from proliferating data tools and siloed data-products by defining a standardized data pipeline with clear stages and concerns across the data lifecycle. The talk covers practical steps Zeta took to align data modeling, storage, and processing infrastructure to lower maintenance overhead and keep system behavior aligned with business objectives.
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chapters (6)
- 0:00Start
- 1:28Context
- 2:49Problems identified
- 5:39What we did Design
- 9:59What we did Implementation
- 17:33Open Challenges
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