11 Core Big Data Workload Design Patterns

As big data use cases proliferate in telecom, health care, government, Web 2.0, retail etc there is a need to create a library of big data workload patterns. . We have created a big data workload design pattern to help map out common solution constructs. There are 11 distinct workloads showcased which have common patterns across many business use cases. It essentially consists of matching incoming event streams with predefined behavioural patterns & after observing signatures unfold in real time, respond to those patterns instantly. Let's take an example: In registered user digital analytics scenario one specifically examines the last 10 searches done by registered digital consumer, so as to serve a customized and highly personalized page consisting of categories he/she has been digitally engaged.