pipeline orchestration

Pipeline orchestration automates the sequencing, scheduling, and error-handling of complex data workflows across distributed systems.

Modern data stacks rely on orchestrators like Apache Airflow, Prefect, or Dagster to manage dependencies between tasks. Instead of brittle cron jobs, these tools use Directed Acyclic Graphs (DAGs) to ensure Task B only triggers after Task A succeeds. They handle the heavy lifting: retrying failed API calls, managing backfills for historical data, and providing a centralized UI to monitor execution logs. By decoupling the execution logic from the underlying infrastructure (like Kubernetes or Snowflake), teams maintain a reliable audit trail and clear visibility into their entire data lifecycle.

https://airflow.apache.org