Run-time or run-time computing refers to the type of computing in which multiple computing tasks occur simultaneously or at overlapping times. These tasks can be performed by individual computers, specific applications, or across the network. Run-time computing is often used in Big Data environments to process very large data sets. Careful coordination between systems and across Big Data architectures regarding task scheduling, data exchange, and memory assignment is required to operate efficiently and effectively.
The Semantic Layer is an abstraction layer between data sources and users that defines and standardizes data from a business perspective.
Data anonymization techniques are the modification of data in systems in such a way as to prevent the data from pointing to a specific individual while maintaining the format and consistency of the data.
Neural Networks are one of the fundamental building blocks of artificial intelligence and machine learning. Inspired by the functioning of the human brain, these structures are used in solving complex problems and data processing.
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