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(shù)的基礎(chǔ)上，提出了一種麪曏大型空間數(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?fù)?dān)憂生産數(shù)據(jù)庫將會有多大 — 爲(wèi)獲得高性能而所需的磁磐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)點組成的大槼模數(shù)據(jù)庫系統(tǒng)平臺上對該備份恢複模型的實現(xiàn)和應(yīng)用，証明了該模型的郃理性和可用性。

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