Big Data will collect flood-like 'raw data' from various sources and keep it in databases; then processes and configures them much faster than conventional methods, then compiles it in the way that users want and stores it in data warehouses. They will then analyze and deliver the desired 'processed data' as a report or output. Thus, users will be able to occupy the systems as little as possible, since they find what they seek more comprehensive and quicker.


Big Data radically changes economic values and dynamics in the processing of large volumes and most unstructured raw data. While system architecture is designed according to various requirements; parameters such as measurability, continuity, recovery from fault, parallel processing capabilities, price / performance, flexible design are used.