October 2019
Beginner
426 pages
10h 44m
English
The idea behind data redundancy is to be able to store the same set of data in multiple locations and to be able to update it automatically. But what if the data updates are not successfully implemented? Data inconsistency problems occur, which can lead to more problems, such as data integrity. This can further multiply problems with the data and can potentially harm organizations that have a large amount of data and multiple data storage locations.
Now, let's explore clustering, which merges the processing power of several servers.
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