There are various sources of data for big data analytics, including internal and external sources of a company or organization. They are categorized as 1) Transactional data.

Big data requires special techniques to efficiently process large amounts of data that tolerate an elapsed time period. Technologies that are applicable to Big Data include massively parallel processing (MPP) databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.

Sources of big data are transactional data, human data, machine and sensor data.

The main sources of big data include search engines, mobile devices, website clickstream data, and user behavior search spiders, which are one-access robots.