12.4 Data Placement
One of the most important decisions a distributed database designer must make is data placement. Proper data placement is a crucial factor in determining the success of a DDBS. There are four basic alternatives, namely, centralized, replicated, partitioned, and hybrid. Some of these require additional analysis to fine-tune the placement of data. In deciding among data placement alternatives, the following factors need to be considered:
Locality of data reference. The data should be placed at the site where it is used most often. The designer studies the applications to identify the sites where they are performed and attempts to place the data in such a way that most accesses are local.
Reliability of the data. By storing ...
Get Databases Illuminated, 4th Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.