Hadoop is a powerful platform for collecting, processing, analyzing and management storage and data. For scenarios involving big data sets, Hadoop has many applications.
Website Analytics — Websites can generate tones of data, like traffic data, click-throughs, page visits, and digital marketing data. Designed for such things, Hadoop can store and analyze big data sets.
Consumer Analytics — Consumer tracking is not new. It's a process that coordinates many data points to understand consumer behavior. Even if data is anonymized, it is still sizable, and in need of a system capable of understanding both structured and unstructured data. Consumer analytics can rely on disparate data like geographic location, and e-commerce history, to understand what may be most relevant to the consumer.
Retail Analytics — Retail analytics is like consumer analytics, but in the backend. Today, in the retail world, omni-channel marketing is becoming the new business differentiator. For retailers, this means having a system that can ingest and dig through some of their biggest systems, including CRM, ERP, and the retail store databases. Together, they are being connected to provide the widest possible view of retail operations.
Financial Analytics — The first applications of big data set systems, like Hadoop, is always finance. The pure mathematical nature of finance lends itself as an ideal case for Hadoop.
Healthcare Management — Much like retail, the healthcare industry is interweaving its inventory, staff, and patient systems. An interworking of these systems helps to deliver better patient care, ensure that medicines and inventory are available, and helps coordinate the schedules of staff, patients, and equipment availability, enabling doctors and nurses to attend to more in need.