Pub/Sub for Tables: Shift Left for Data Integration
Traditional data pipelines are costly and hard to operate and maintain. Tabsdata introduces Pub/Sub for Tables, a declarative approach to data movement by allowing teams to publish structured datasets. This model shifts data quality and governance left, simplifying both the development and operation of data stacks.
As data volumes and regulatory demands grow, traditional data pipelines are becoming costly and brittle. This talk introduces a new approach: Pub/Sub for Tables, which replaces the need for imperative data pipelines by allowing teams to publish structured datasets as products, ready for use.
With built-in versioning, ownership, and traceability, this model shifts data quality and governance left, closer to where data originates. The result is a simplified architecture that reduces operational risk, improves reliability, and enables more predictable scaling for AI and analytics workloads.