This report explains how organizations evolve from basic workflow orchestration using Apache Airflow to a full DataOps platform that drives measurable business value. It highlights the role of DAG-based orchestration in managing complex data pipelines and enabling reliable, real-time data delivery. A maturity model shows progression from simple scheduling to unified, cloud-native platforms that integrate observability, governance, and automation. By adopting managed platforms, organizations improve reliability, reduce costs, accelerate data product delivery, and enable advanced use cases such as AI and machine learning workflows. The result is greater efficiency, scalability, and return on data investments.

Join for free to read