



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.
Data Fabric is a data architecture that aims to create an integrated structure between different data sources.
AIOps (Artificial Intelligence for IT Operations) is a concept that refers to the use of artificial intelligence and machine learning technologies in IT operations. Defined by Gartner in 2017, the term encompasses the use of artificial intelligence algorithms to automate and improve traditional IT operations processes.
MongoDB is a cross-platform, open-source database that uses a document-oriented data model rather than a relational database structure based on a traditional table.
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