What is data model scalability?

< 1 min read

Data model scalability means the model can handle increasing data volume and new business requirements without major redesign.
In projects, data grows from thousands to millions of records, so the model should still perform well.
For example, I used a star schema to ensure fact tables could scale with large transaction data.
We also designed dimensions with surrogate keys to support future attribute additions.
Partitioning fact tables by date helped improve performance as data increased.
Scalability also means we can add new fact tables or dimensions without breaking existing reports.
The goal is to support growth in data, users, and reporting needs smoothly.

Power BI Essentials