Architectural Patterns

Big data architecture landscape and layers

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 ...