本文介绍了Google的两项重要数据管理项目：KnowledgeSearch和Bigtable。KnowledgeSearch通过在线问题分类、相关问题推荐及主题敏感专家匹配等功能，实现了高效的问题解答；Bigtable作为分布式非关系型数据库，在算法层面被视作高度分布式的多级映射，在实现层面则是分布式B树的一种变体。
今天读了Google的一篇论文《Data Management Projects at Google》。从中发现了一些有意思的描述。
第一是关于 Knowledge Search
Knowledge Search allows user to post questions and the matches experts to timely answer questions. The
distinguishing feature of this product compared to competing products is that it offers online question classfication,
related-question recommendation, and topic-sensitive expert matching. All of these feature are empowered by the
aforementioned machine-learning infrastructure.
第二点是关于 Bigtable
Bigtable can be viewed at a system level as a distributed, non-relational database; at the algorithmic level as a
highly distributed multi-level map; or at the implementation level as a variant of a distributed B-tree.
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