Distinct Counting at Scale: A Different Approach with DataSketches

Distinct counting becomes challenging when you need to aggregate results across different dimensions or time windows. Once unique counts are stored as plain numbers, information about overlapping values is lost. This post explores how Apache DataSketches and Spark help overcome that limitation using compact, mergeable sketches that enable flexible analytics without repeatedly processing raw data.