| Publisher | Monash Information Services | ||
|---|---|---|---|
| Format | 429.2KB PDF | Date added | 01 May 2006 |
| Topics | Knowledge and Data Management | ||
| Downloads | 3 | ||
Two of IT's most consistent mandates are lower costs and more speed. To meet this demand for cheap speed, standard disk-based DBMS need help. Increasingly, this help is coming in the form of memory-centric data management technology. Conventional DBMS are designed to get data on and off disks as safely, quickly, and flexibly as possible. Much of their optimization is focused on one key bottleneck - the slow speed with which a random byte of data can be found on disk, up to 1 million times as long as it might take to find the same byte in RAM. But the optimizations and access methods designed to address this bottleneck don't do as well once the data is safely in main memory.
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