Introduction
In 2026, Data Engineering is undergoing a radical transformation thanks to the emergence of Agentic AI. Gone are the days of static pipelines requiring constant manual maintenance. Today, autonomous agents are redefining how we design, deploy, and manage our data infrastructures.
From Automation to Autonomy
Artificial intelligence is no longer just an analytics tool; it has become the engine of the data platform. AI agents can now identify anomalies, fix failing schemas, and optimize SQL queries on the fly. This transition from rule-based automation to intelligent autonomy allows Data teams to focus on higher value-added tasks.
Integration with Looker and Power BI
Data semantics are also impacted. Agentic AI integrates natively with tools like Power BI and Looker, automatically generating semantic models (datasets) and interactive dashboards based on immediate business needs, without direct human intervention from the data engineer.
Conclusion
The adoption of Agentic AI in the data ecosystem is not just a trend, it is a necessity to remain competitive. At 21datas, we support our clients in this transition to turn their data into a true dynamic asset.