A cumulative table, also known as an aggregated table, is a type of table designed to store pre-computed, aggregated data for performance optimization and ease of querying. The purpose of a cumulative table is to track and maintain historical trends, summaries, or progressive totals based on specific metrics, often over time. This design minimizes the need for on-the-fly computation of aggregates, making it ideal for dashboards, reporting, and analytical workloads.
Benefits of a Cumulative Table Design
Improved Query Performance: Eliminates the need for repetitive aggregation calculations.
Simpler Analytics: Simplifies queries for BI tools and analysts.
Consistency: Ensures consistent calculations across different reports or dashboards.
you can find code in below path
https://github.com/saurabhgarg013/Datawarehouse.git
