Gathered requirements and determined the most important data structures and business objectives.

 Data Modeling: Demonstrated the data set outline utilizing tools like Google Cloud's BigQuery. 

Database Type Determination: Chosen the appropriate database type based on requirements, keeping in mind scalability and performance. Optimization and Security: Designed for scalability and optimized performance, integrating security elements, for example, encryption and access controls.

 Integration and Migration: Implemented a data migration strategy and integrated the database with GCP services. 

Testing and Maintenance: Led testing, resolving issues, and executing checking for ongoing maintenance. 

Documentation and Conclusion: Documented the plan, gave traininf, and considered the project's progress in contrast to models. 

This streamlined process guaranteed a solid, scalable, and productive GCP database lined up with project objectives.