Spark and Data Sketches: Taming count-distinct

Distinct counting is a commonly used metric in trend analysis to measure popularity or performance. Although it may seem like a simple problem, the challenge quickly grows as the amount of data grows. Counting the exact number of distinct values can consume a significant amount of resources while taking a long time even when using a parallelized processing engine. To address this challenge, you can use probabilistic algorithms [Read More]