Data gravity occurs when the volume of data in a warehouse increases and the number of uses also increases. In some cases, copying or moving data can be troublesome and expensive. Therefore, data tends to pull services, applications and other data into its warehouse. Primary examples of data gravity are data warehouses and data lakes. Data in these systems is inert. Scalable volumes of data often break existing infrastructure and processes, requiring risky and expensive fixes. Therefore, the best practice is to move design processing to data, not the other way around.
Run-time or run-time computing refers to the type of computing in which multiple computing tasks occur simultaneously or at overlapping times
IaaS (Infrastructure as a Service) is a cloud computing model that stands for “Infrastructure as a Service”. IaaS provides businesses with cloud-based infrastructure services over the internet rather than physical hardware.
Predictive maintenance is a method used to predict and prevent possible malfunctions in equipment. Using technologies such as sensors, artificial intelligence and machine learning, it constantly monitors the state of the machine and can pre-determine any problems.
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