👉 The Fluid operator in Apache Airflow is a versatile tool used to define and execute complex data workflows, particularly those involving time-series data. It allows users to create dynamic schedules and dependencies by specifying how often a task should run, based on time intervals or other conditions. Fluid expressions enable the creation of intricate logic, including conditional statements and loops, which can adjust task execution based on various inputs or external factors. This flexibility makes Fluid a powerful choice for managing workflows that need to adapt to changing conditions or data patterns, making it ideal for time-series analysis and real-time data processing tasks.