What is Cloud Composer?What is Cloud Composer?Developer Advocate, GoogleWorkflows Product Manager

When you are building data pipelines, you need to manage and monitor the workflows in the pipeline and often automate them to run periodically. Cloud Composer is a fully managed workflow orchestration service built on Apache Airflow that helps you author, schedule, and monitor pipelines spanning hybrid and multi-cloud environments. 

By using Cloud Composer instead of managing a local instance of Apache Airflow, you can benefit from the best of Airflow with no installation, management, patching, and backup overhead because Google Cloud takes care of that technical complexity. Cloud Composer is also enterprise-ready and offers a ton of security features so you don’t have to worry about it yourself. Last but not least, the latest version of Cloud Composer supports autoscaling, which provides cost efficiency and additional reliability for workflows that have bursty execution patterns. 

How does Cloud Composer work? 

In data analytics, a workflow represents a series of tasks for ingesting, transforming, analyzing, or utilizing data. In Airflow, workflows are created using directed acyclic graphs (DAGs).

A DAG is a collection of tasks that you want to schedule and run, organized in a way that reflects their relationships and dependencies. DAGs are created in Python scripts, which define the DAG structure (tasks and their dependencies) using code. The purpose of a DAG is to ensure that each task is executed at the right time, in the right order, and with the right issue handling.

Each task in a DAG can represent almost anything—for example, one task might perform data ingestion, another sends an email, and yet another runs a pipeline.

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