• Google engineers claim that the response time of data queries in BigTable is only determined by the size of the result dataset.

    Google工程师宣称BigTable中数据查询的响应时间只根据结果数据集的大小确定。

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  • You can combine these basic query types, which represent the dimension, edge, and data queries described here, to model more complex situations.

    可以组合这些表示维、边界和数据查询的基本查询类型,以建模更复杂的情况。

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  • QF (Query Framework) - internal libraries for infrastructure and integration of metadata queries, data queries, local data processing, and result sets.

    QF (QueryFramework)-用于元数据查询、数据查询、本地数据处理和结果集的内部库。

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  • JOLAP's query requirements and model facilitate the creation and execution of the three common types of OLAP query, namely: dimension queries, edge queries, and data queries.

    JOLAP的查询需求和模型简化三种常见olap查询的创建和执行,即多维查询、边界查询和数据查询。

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  • Provide support to clients - handling data queries.

    提供客户支持-处理数据查询。

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  • Analytical and able to manage and operate complex credit risk systems and perform data queries and analysis.

    擅长分析并善于处理复杂的信贷风险系统及完成数据查询和分析。

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  • Optional string array containing the data queries to execute to obtain input for the associated update commands.

    包含数据查询的可选字符串数组,该数据查询将被执行以得到相关联更新命令的输入。

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  • Data query for proposition with universal quantifier and data query for implication proposition are two categories of the most practical and difficult data queries.

    带有全称量词命题与蕴含命题的数据查询是数据库应用系统中最实用的两类查询,但也是最难的两种数据查询。

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  • Data queries represent data selections from a cube.

    数据查询表示立方体中的数据选择。

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  • Data warehouse stores volumes of historical data, and OLAP applications involve complex queries on these data. Queries optimization is the key of improving the speed of OLAP response.

    数据仓库存储大量历史数据,OLAP应用涉及到对大面积历史数据的复杂查询,查询优化是提高OLAP响应速度的关键。

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  • Data warehouse stores volumes of historical data, and OLAP applications involve complex queries on these data. Queries optimization is the key of improving the speed of OLAP response.

    数据仓库存储大量历史数据,OLAP应用涉及到对大面积历史数据的复杂查询,查询优化是提高OLAP响应速度的关键。

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