The concept of data allocation is closely related to the granularity of the data. Data allocation (technique also referred to as filling gaps) is useful when dealing with data which has a different level of detail (granularity) and there are gaps for some measures
In data warehousing systems, the allocation technique is in many cases compulsory and used widely in order to get a consistent and complete set of data
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In today’s organizations, there is a need for a well-maintained database to maintain its functionality. Earlier, databases used to be centralized in nature. But, with the boost in globalization, organizations inclined to diversify throughout the🔗Smart Sight Innovations
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Data fragmentation replication and allocation techniques for distributed database - Data Fragmentation The process of dividing the database into smaller multiple parts or sub−tables is called fragmentation. The smaller parts or sub−tables are called fragments and are stored at different locations. Data fragmentation should be done in a way that the reconstruction of the origina🔗tutorialspoint.com