Initial DataOps Architecture for 6G-DALI

A novel DataOps architecture is proposed under the 6G-DALI (6G DAta and ML operations automation via an end-to-end AI framework) project to enable intelligent, user driven data management across dynamic 6G environments. The framework leverages Large Language Models (LLMs), automated ELT pipelines, and secure federated services to orchestrate the retrieval, generation, transformation, and governance of both pre-existing (“cold”) and on-demand (“hot”) datasets. Together, these components establish a scalable and transparent foundation for AI-driven, high-quality, and on-demand data engineering in future 6G systems.