bigtable是设计来分布存储大规模结构化数据的，从设计上它可以扩展到上２^50字节，分布存储在几千个普通服务器上．Ｇoogle的很多项目使用ＢＴ来存储数据，包括网页查询，google earth和google金融．这些应用程序对ＢＴ的要求各不相同：数据大小（从URL到网页到卫星图象）不同，反应速度不同（从后端的大批处理到实时数据服务）．对于不同的要求，ＢＴ都成功的提供了灵活高效的服务．在本文中，我们将描述ＢＴ的数据模型．这个数据模型让用户动态的控制数据的分布和结构-bigtable is designed to store large-scale distribution of structured data, by design, it can be extended to the 2 ^ 50 bytes, distributed in the thousands of ordinary server. Google' s many projects using BT to store data, including Web queries, google earth and google finance. These applications on BT' s requirements are different: data size (from the URL to a Web page to satellite images) in different reaction at different speeds (from the large number of back-end processing to real-time data services). For different requirements, BT have successfully provided a flexible and efficient service. In this article, we will describe BT' s data model. This data model allows users to dynamically control the distribution and structure of data