Building AI-Native Data Platform: Automating the Lifecycle from Analysis to Modeling to Engineering
Move beyond fragmented tools and manual handovers to the era of the self-engineering data platform. We demonstrate how to harness Agentic AI to transform raw business requirements into governed data models and production-ready pipelines, evolving your data platform into a self-healing Data Vault 2.0 ecosystem using VertexAI, BigQuery, Spanner, and DataProc. This architecture creates a powerful innovation flywheel: as the platform automates its own engineering and operational rigors, it accelerates the delivery of new AI use cases, which in turn feeds more metadata back into the system to drive even faster, more intelligent deployments. Witness a revolutionary blueprint in which AI-native agents not only automate the building of Data Vault but also proactively manage the “Day 2” health of Data Vault, delivering a truly end-to-end, hands-free experience.
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