You should be able to extract valuable, meaningful information (insights) from the enormous volumes of data to improve an organization's decisions that involve various challenges, such as data regulations, faster decisions, interactions with customers, dealing with legacy systems, disparate data sources, and so on. So, to address all those challenges efficiently, researchers came up with a unified architecture consisting of layers at different levels:
The preceding pyramid depicts the significant attributes of big data layers and the problems that are addressed in each layer. As we have mentioned earlier, big data is not a single technology or a framework solving just a set of use cases; it is a set of tools, processes, technologies, and a system infrastructure that helps businesses to make much smarter analysis and take smarter...
