We have discussed how distributed systems can be employed to store, model, and process huge amounts of structured, semi-structured, and unstructured data, while providing horizontal scalability, fault tolerance, resilience, high availability, consistency, and high throughput. However, other fields of study have become prevalent today, seemingly in conjunction with the rise of big data—artificial intelligence and machine learning.
But why have these fields of study, the underlying mathematical theories of which have been around for decades, and even centuries in some cases, risen to prominence at the same time as big data? The answer to this question lies in understanding the benefits offered by ...
