Scenario: An organization requires efficient storage utilization for its large datasets. How can DB2's data compression features address this requirement?
- DB2's data compression increases storage requirements and should be avoided for large datasets.
- DB2's data compression is ineffective and may lead to data loss or corruption.
- DB2's data compression only works for certain types of data and may not be suitable for all datasets.
- DB2's data compression reduces storage requirements by compressing data at the row and page levels, resulting in significant space savings for large datasets.
DB2's data compression feature offers efficient storage utilization by compressing data at the row and page levels. By eliminating redundant or repetitive data patterns, compression reduces the amount of storage space required to store large datasets. This results in cost savings and improved performance, as fewer disk I/O operations are needed to access compressed data. Additionally, DB2's data compression feature is transparent to applications and does not require changes to existing code or queries, making it easy to implement and manage. Overall, DB2's data compression feature effectively addresses the storage utilization requirements of organizations with large datasets.
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