The era of big data is an interesting phenomenon to be discussed by researchers and software developers, application development and data management concepts are increasingly becoming variants and support makes the big data framework can enter every line of life, data that is arranged both synchronously and asynchronously, involves machines and humans in data collection make this technology more in line with the concept of the Industrial Revolution 4.0. In various studies, Big Data concepts and frameworks are presented, from these studies some researchers present layers in the Big Data architecture, where each layer provides input to other layers to be able to be processed into a ready-to-serve form in the community, a layer consisting of data collection, data storage, data processing and data analysis, so that at the application layer the use of data can be felt more optimally by users This paper presents some literature study materials which are summarized to get an explanation of the layers of Big Data architecture that can be developed and applied to other research fields.