What are common use cases of Composer?
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Apache Airflow Composer, often called Cloud Composer on GCP,
is a fully managed workflow orchestration service for scheduling, monitoring, and managing workflows. Common use cases include:
Data Pipeline Orchestration – Automating ETL (Extract, Transform, Load) workflows across services like BigQuery, Cloud Storage, and Dataproc.
ML Workflow Automation – Managing end-to-end machine learning pipelines from data preprocessing to model training and deployment.
Batch Data Processing – Scheduling batch jobs for large-scale data processing tasks using Spark, Hadoop, or Dataflow.
Event-Driven Workflows – Triggering workflows based on events like file uploads or API calls.
Cross-Cloud Integration – Orchestrating workflows involving multiple cloud platforms and on-premises systems.
Monitoring and Alerts – Centralizing workflow logs and setting alerts for failures or performance issues.
It simplifies complex workflows by providing scalability, reliability, and automation.
If you want, I can also give real-world examples of Composer in GCP pipelines for better understanding. Would you like me to do that?
Read More
What are common use cases of Composer?
What logging and alerting tools are useful in pipelines?
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