Catalin’s Reviews > Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems > Status Update

The feature of a batch processing job is that it reads some input data and produces some output data, without modifying the input, in other words, the output is derived from the input. The input data is bounded: it has a fixed size. Because it is bounded, a job knows when it has finished reading the entire input, and so a job eventually completes when it is done.

The CAP Theorem states that distributed data stores can simultaneously provide at most two of three guarantees: Consistency (all nodes see the same data), Availability (every request receives a response), and Partition Tolerance (the system continues to operate despite network failures)