Reliable performance at scale is essential for data-centric systems, and a Proof-of-Concept (POC) model is often used to ensure successful system deployments by simulating the system environment and workloads. This approach helps stakeholders understand implementation, benefits, business impact, and developer experience while providing insights into operational support. The creation of datasets for POCs can be achieved by exporting data from existing systems and converting it into JSON structures or by using online tools like generatedata.com to create sample data. Care must be taken with dataset size due to the concurrent nature of Node.js processes. Utilizing these datasets, technology professionals can better understand and leverage Couchbase systems, with future exploration into Couchbase views and the query language N1QL promising to simplify development efforts.