Big data
Processing a big amount of information can often be a serious challenge because of the complexity of the data and cannot be process by traditional methods. The term “big” means not only vast amounts of information about tera- and zettabyte, but also high speed and frequency of obtaining this information, which comes from a variety of resources and in different formats, especially unstructured ones, such as audio, video and text. These extensive databases can be used to solve business problems and get ideas that you couldn’t even imagine.
Cloud computing
Cloud computing is a collection of information technologies that provides general access to shared pools of system resources that can be accessed with minimal efforts, often through the Internet. Cloud computing is based on sharing resources to achieve consistency and economy. Third-party clouds allow organizations to focus on their core business rather than waste resources on computer infrastructure and maintenance. Also, allow IT-professionals quickly adjust resources to meet rapidly changing demand.
E-commerce refers to commercial transactions conducted electronically. Recently, the number of such transactions has increased significantly. E-commerce includes both physical and digital goods and services, often divided into business for the consumer (B2C) and business to business (B2B).
Financial technologies (FinTech) - new technologies and innovations due to competition and replacement traditional methods of financial services. FinTech doesn’t only change the financial services sector, but financial operations and risk management.
The Internet of Things (IoT) is a network of physical devices embedded in an Internet connection and sensors that allow them to collect data and communicate over the Internet. They are equipped with certain technologies to interact with each other without human intervention in order to optimize the use of resources.
Machine learning
Machine learning is artificial intelligence techniques that focus on the ability of computers to learn when applying data while solving a problem without being programmed. Machine learning is closely related to computational statistics, the theory of mathematical optimization and control theory, often using statistical methods for forecasting.

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