CP systems have both consistency and partition tolerance. This means that these are the distributed storage systems that are tuned to guarantee consistency before a read process can fetch a value. 

A typical use case for CP systems is when we want to store document files in JSON format. Document datastores such as MongoDB are CP systems tuned for consistency in a distributed environment.

Distributed data storage is increasingly becoming the most important part of a modern IT infrastructure. Distributed data storage should be carefully designed based on the characteristics of the data and the requirements of the problem we want to solve. Classifying data storage into CA, AP, and CP systems help us to understand the various trade-offs involved when designing data storage systems.    

Now, let's look into streaming data algorithms.