Conventional data storage media and evaluation methods fall short storage, management and evaluation (conversion into information and interpretation) of large amount of data continuously produced by technology corporations like Facebook, Twitter and Google. Comprising multiple computer cluster, big data systems handle and overcome challenging conditions such as diversity, size and high production rate of data, and allow access to refined information in a very short time. Inquiry of current situation (e.g. how often a word is searched on Google) is possible and also predictive analysis (to illustrate; analysis by artificial intelligence of aircraft and flight information kept for years to prevent probable accidents) can be made. This way, big data systems offer effective prevention, optimization and so on with respect to subjects such as internal processes, maintenance, product quality and production optimization.
Cloud computing enables procurement and use of information technology components (software and hardware) anytime and anywhere in a fast way over cost-effective methods. As much as software (operating systems, office software, software development tools, accounting applications, etc.) and hardware (from desktop computers to high capacity servers) needed, creation of a low-cost, maintenance-free and scalable service system that protects investments and available whenever required facilitates individual and corporate processes.