Within the Cloud Composer set up by Stacktics, a library of connectors and multiple graphical representations are available through one-click deployment. Cloud Composer pipelines are organized as directed acyclic graphs (DAGs) to accommodate Python files and lower the entry barrier to authoring and scheduling workflows. An Airflow DAG contains a DAG definition, operators and operator relationships, which allows for the development, management and orchestration of workflows.
The Cloud Composer distributes the environment’s resources between a Google-managed tenant project and a customer project.
A customer project is a Google Cloud project where the composer environment is created.
A tenant project is a Google-managed tenant project. It provides a unified access control and an additional layer of data security for the Composer.
Environment components run either in the tenant or in the customer project of the environment.
As part of Google Cloud Platform (GCP), Cloud Composer integrates with tools such as BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub and Cloud ML Engine. Connect with Stacktics to incorporate this powerfully integrated system into your organization.
Have a question, get an answer. We would be happy to chat.