Definition
Data pipeline orchestration is the process of automating, scheduling, and managing complex data workflows. It involves defining the sequence of operations, dependencies between tasks, and handling errors or retries to ensure data flows reliably from source to destination. This practice is crucial for maintaining data quality, enabling timely insights, and ensuring efficient resource utilization in data-driven organizations. For instance, orchestrating a daily sales report pipeline might involve extracting data from a transactional database, transforming it into a usable format, and loading it into a data warehouse for analysis. Unlike simple scripting, orchestration provides robust monitoring, logging, and fault tolerance for intricate data processing chains. This concept is fundamental to domains like data engineering and is often covered in AWS Certified Solutions Architect Associate preparation.