Summary

In this chapter, we introduced probabilistic data structures, also known as “sketches.” We explained their strengths in different areas, such as fraud detection, online gaming, network, device analysis, and social media trends analysis. We also learned how to use the right data structures for the right use cases and understood that using such solutions is often an acceptable compromise between accuracy, performance, and the usage of resources, especially when dealing with datasets of exceptional size or that contain big data. In addition, we discussed how accuracy can be fine-tuned and the guarantees of outcomes when a certain item is tested against a specific sketch. To learn more about probabilistic data structures and understand how to achieve acceptable accuracy, refer to the Sizing section in the documentation at https://redis.io/docs/data-types/probabilistic/.

In Chapter 9, The Programmability of Redis Stack, we will dive into the strengths of Redis Stack...