Raw data refers to any data object that hasn’t undergone thorough processing, either manually or through automated computer software. Raw data may be gathered from various processes and IT resources. Raw data is also known as source data, primary data or atomic data.
Mean time to failure is extremely similar to another related term, mean time between failures (MTBF). The difference between these terms is that while MTBF is used for products than that can be repaired and returned to use, MTTF is used for non-repairable products. When MTTF is used as a measure, repair is not an option.
As a metric, MTTF represents how long a product can reasonably be expected to perform in the field based on specific testing. It is important to note, however, that the mean time to failure metrics provided by companies regarding specific products or components may not have been collected by running one unit continuously until failure. Instead, MTTF data is often collected by running many units, even many thousands of units, for a specific number of hours.
One of the main situations where terms like MTTF are extremely important is when hardware pieces or other products are used in mission-critical systems. Here it becomes valuable to know about general reliability for these items. For non-repairable items, MTTF is a statistic that is of great interest to engineers and others assessing these pieces as parts of larger systems.
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