Learn how to use Qlik Answers and Agentic AI to turn natural language questions into insights and automated actions.
Build Data Pipelines with Natural Language
Building a data pipeline can be simplified using Qlik Talend Cloud's declarative pipelines and Claude Code. By entering a natural language prompt, users can generate YAML configurations that define tasks, data sets, and schedules, which are then committed to Git and applied in Qlik Talend Cloud. This video provides a step-by-step demonstration of creating a new storage task, including the setup of a calculated column, and illustrates how the integration with source control and the Qlik platform works seamlessly. Additional resources are suggested for those interested in exploring more about agentic data engineering.