Create a virtual table that concatenates two or more attributes used as a composite key. Enable a duplicate metric to monitor duplicates in the table.
Create a virtual table that aggregates your data by week or month with a
group by clause. Then apply metrics to monitor changes to key values (ex: revenue, units sold) at that level of granularity.
join statement between a fact and dimension table to group rows by a dimension attribute, then monitor anomalies in that grouping.
Create a virtual table that aggregates sales by product each week and monitor significant changes in the ratio between product categories, average revenue by product or other groupings.
Validate type 2 table records by using a cartesian
join of the table to itself, add monitoring to ensure uniqueness.
Updated about 2 months ago