I’ve had several conversations recently about caching as it relates to big data. As a result of these discussions I wanted to review some details that should be considered when deciding if a cache is necessary and how to cache big data when it is necessary. What is a Cache? The purpose of a cache is to duplicate frequently accessed or important data in such a way that it can be accessed very fast and close to where it is needed. Caching generally moves data from a low cost, high density location (e.g.......
Continue Reading