Database tuning and RAID

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Database tuning and RAID

Database tuning vs. RAID

Database tuning describes a group of activities used to optimize and homogenize the performance of a database. RAID (Redundant Array of Independent Disks, originally Redundant Array of Inexpensive Disks) is a data storage virtualization technology that combines multiple physical disk drive components into one or more logical units for the purposes of data redundancy, performance improvement, or both.

Similarities between Database tuning and RAID

Database tuning and RAID have 4 things in common (in Unionpedia): Concurrency (computer science), Data striping, Operating system, Software.

Concurrency (computer science)

In computer science, concurrency refers to the ability of different parts or units of a program, algorithm, or problem to be executed out-of-order or in partial order, without affecting the final outcome.

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Data striping

In computer data storage, data striping is the technique of segmenting logically sequential data, such as a file, so that consecutive segments are stored on different physical storage devices.

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Operating system

An operating system (OS) is system software that manages computer hardware and software resources and provides common services for computer programs.

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Software

Computer software, or simply software, is a generic term that refers to a collection of data or computer instructions that tell the computer how to work, in contrast to the physical hardware from which the system is built, that actually performs the work.

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The list above answers the following questions

What Database tuning and RAID have in common
What are the similarities between Database tuning and RAID

Database tuning and RAID Comparison

Database tuning has 24 relations, while RAID has 95. As they have in common 4, the Jaccard index is 3.36% = 4 / (24 + 95).

References

This article shows the relationship between Database tuning and RAID. To access each article from which the information was extracted, please visit:

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