Shift Left

Shift left architecture in data involves moving data quality checks, validation, and processing earlier in the data pipeline, closer to the source, rather than waiting until the data reaches its final destination (like a data warehouse).

This approach aims to improve data quality, reduce costs, and accelerate time-to-market by addressing issues earlier in the process.

Instead of waiting for batch pipelines to push data from OT to IT systems, a shift-left approach processes streaming data in real time, enabling faster insights and lower latency.