Customers can have numerous data analytics teams within a single organization that each require workflow or data pipeline orchestration. It is important to evaluate the tenancy design of your implementation to improve the efficiency, scalability, and security of your organization.
Google Cloud offers Cloud Composer, a fully managed workflow orchestration service built on Apache Airflow offering end-to-end integration with Google Cloud products including BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and Vertex AI.
This guide compares the pros and cons of different tenancy strategies for Cloud Composer. We’ll evaluate the differences between a multi-tenant Composer strategy versus a single-tenant Composer strategy. In other words, a single shared Composer environment for all data teams vs. a Composer environment for each data team...
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