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The purpose of this article is to help readers understand what is caching, the problems it addresses, and how caching can be applied across layers of system architecture to solve some of the challenges faced by modern software systems.
This article is aimed at software developers, technical managers, software architects, test engineers, or anyone else interested in understanding how the cache can be used in software systems.
Data Mesh is fast emerging as a serious architecture pattern to look for in the field of data. I will stop after saying 'field of data' rather than extending the 'data' to data science, data engineering, data warehouse, and all such kinds of buzz words. We in IT have the habit of creating buzzwords and then following them. I just want to focus on something other than just the buzzword. The reason for this is Data Mesh has the potential to completely change the way we handle and look at our data. This will have an impact on all areas where data is the critical element.
Before we graduate our data to the next level, here is a quick summary of progress or a report card of the current level of data. The diagram below shows how data is normally handled in today's IT systems.