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INTERNATIONAL STANDARD11558 First edition 19920901____.______Information information embedded___.._.___.._.____..I_.____.__.___ Data compression technology interchange Adaptive coding DCLZ Algorithm
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01
Start by identifying the table or index you want to compress.
02
Determine the level of compression you want to apply (low, medium, high).
03
Use the appropriate SQL command or tool to initiate the index compression process.
04
Monitor the progress and performance impact of the compression.
05
Test the compressed index to ensure data integrity and query performance.

Who needs index compression - information?

01
Database administrators who want to optimize storage space and improve query performance.
02
Organizations with large databases that suffer from slow query execution times.
03
Companies looking to reduce storage costs by compressing indexes.
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Index compression refers to the process of reducing the size of data indexes in databases to improve storage efficiency and performance.
Entities that maintain large databases and require efficient data retrieval are typically required to file index compression information.
Index compression information is usually filled out by providing details on the data structure, algorithms used for compression, and the size of data before and after compression.
The purpose of index compression is to optimize storage space, enhance query performance, and reduce the cost associated with data storage.
Reports must include details such as the compression method used, the percentage of space saved, and the performance impact on data retrieval.
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