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ARMY RESEARCH LABORATORYContextSensitive Compression of Database Updates for Wireless Transmission by Frederick S. Brunswick and George W. Hart wig, Jr.ARLTR1701June 199819980714 066 Approved for
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01
Identify the data in the database that is repetitive or redundant and can benefit from compression.
02
Determine the appropriate context-sensitive compression algorithm to use based on the type of data and the requirements of the database.
03
Implement the compression algorithm in the database system, ensuring that it is applied appropriately to the selected data.
04
Regularly monitor and optimize the compression settings to ensure that the database performance is not adversely affected.

Who needs context-sensitive compression of database?

01
Organizations or businesses that have large databases with repetitive or redundant data that can benefit from compression to save storage space and improve performance.
02
Users who deal with high volumes of data and need to optimize storage resources without compromising the efficiency of database operations.
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Context-sensitive compression of database is a method used to reduce the size of a database by encoding data in a more efficient way based on the context in which it is used.
Any entity or individual who operates a database that can benefit from compression techniques is required to file context-sensitive compression of database.
To fill out context-sensitive compression of database, one must analyze the database for opportunities to apply compression algorithms based on the specific data and its usage patterns.
The purpose of context-sensitive compression of database is to optimize storage space, improve data retrieval performance, and reduce bandwidth consumption.
The information to be reported on context-sensitive compression of database includes the type of compression techniques used, data before and after compression, and the impact on database performance.
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