管理大量成本相关数据：Ternary 的 3 查询方法

The 3-query approach developed by Ternary has significantly improved the company's ability to manage and analyze large volumes of customer-generated data. By focusing on presenting the 'most interesting' data points to users, Ternary has been able to make their charts more readable and eliminate concerns about exceeding Cube's response limit. The inclusion of an 'other' column to account for 'less interesting' data points has ensured the accuracy of total spend and subsequent calculations. This approach has also allowed Ternary to stay within the 50K-row limit while providing a complete overview of the most expensive projects and preserving the total cost. The solution has proven to be cost-effective, with the benefits outweighing the potential increase in costs associated with the increased number of Cube queries.

The 3-query approach allowed Ternary to manage large volumes of data without exceeding Cube's 50,000 row limit.

The duration of a request where N = 20 using the 3-query approach was the same as that of using one query to gather all the data.

The 3-query approach allowed Ternary to present complete, accurate data to users, enabling them to perform multidimensional analysis of vast volumes of cost data.