very-large database

基本解釋

This paper classify a series of methods on spatial database index, and introduce the QR-tree index structure with very large spatial database.
在綜述現(xiàn)有空間數(shù)據(jù)庫索引技術的基礎上，提出了一種面向大型空間數(shù)據(jù)庫的QR-樹索引方法。
Therefore, there is no need to worry about how large the production database will be -- it will fit very well on the disk array that will be needed for performance.
因此，不必擔憂生產數(shù)據(jù)庫將會有多大 — 為獲得高性能而所需的磁盤陣列能夠很好地容納它。
Finally, the backup and recovery model for a reality multi-node very large database(VLDB) system is realized and the rationality and usability of this model are proved.
通過在一個實際的、由多個數(shù)據(jù)庫節(jié)點組成的大規(guī)模數(shù)據(jù)庫系統(tǒng)平臺上對該備份恢復模型的實現(xiàn)和應用，證明了該模型的合理性和可用性。

Cloudera specializes in software for Hadoop, an open-source database tool designed to work at very large scales.
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