Defining Data Orchestration

Data orchestration is defined as the scheduling, triggering, and monitoring of data workflows, essential for enabling data processes to function effectively. This involves managing a series of tasks that depend on one another, which can become complex when dealing with multiple data sources and types. Traditional scheduling tools like Cron have evolved, and now orchestration encompasses modern tools like Kubernetes and CI/CD pipelines to manage these dependencies more efficiently. A robust orchestration layer ensures that data ingestion, transformation, and quality checks occur in a systematic manner that supports the overall data lifecycle.