还包括有数值型、日期型和货币型数据。
多数数值型数据不能用整数表示。
2比特的浮点型数据精度更大。
每个单元格都包含一个泛型数据变量。
计数型数据抽样的接收准则应是零缺陷。
For attribute data sampling, the acceptance level shall be zero defects.
查询与业务关键型数据。
一个char型数据占据1字节或8比特。
当一个浮点型数据赋值给整型变量时会发生？
What happen when a floating point value is assigned to an integer variable?
接下来我们看一下如何将数值型数据转化为图表。
业务关键型数据是不存储在系统其他地方的数据。
Business-critical data is data that's not stored elsewhere in the system.
它提供了连接XML数据与关系型数据的最简便途径。
It provides the easiest means to join XML data and relational data.
您可以通过组合方式查询XML数据与关系型数据。
You can query XML data and relational data in a combined manner.
稍后您将了解更多关于操作型数据和数据仓库设计的信息。
You'll learn more about the operational data and the data warehouse design shortly.
开发者也可以另外选择内嵌的SQLite特性来存储关系型数据。
Developers might additionally choose to leverage the embedded SQLite features for relational data storage.
使用负载均衡功能的增强型数据传送可以检测带宽能力和优化的数据流。
Enhanced data transfer using the load balancing function can detect bandwidth capability and optimized data streams.
然后 FAP服务将该关系型数据转换成一个TM1多维数据集。
The FAP service then transforms this relational data into a TM1 cube.
通过消息队列基础设施的数据可以大致分为两类：查询和业务关键型数据。
Data that passes through a message queuing infrastructure can be broadly separated into two categories: query and business-critical.
在整个系列中，我和您了分享大量非关系型数据存储，统称为NoSQL。
Throughout this series, I've Shared with you a number of non-relational data stores, collectively dubbed NoSQL.
表中的每一行既包含传统的关系型数据，也包含比较新的基于XML的数据。
Each row of the table contains both traditional relational data and the newer XML-based data.
企业数据架构如何通过更少的数据延迟帮助处理从事务型数据到分析型数据的转换？
How does the enterprise data architecture help in processing the transformation of transactional data into analytical data with reduced data latency?
如今复杂数据中心环境的关键要求是能够随时快速交付任务关键型数据，不会延迟。
A key requirement of today's complex data center environments is to be able to deliver mission-critical data quickly, at any time, without interruptions or delays.
Hibernate与JPA是Fabric3中访问关系型数据的最流行的方式。
Hibernate and JPA are the most popular mechanisms for accessing relational data in Fabric3.
虽然DataStage作业设计很适合于关系型数据，但程序集很适合于分层数据。
While DataStage job design is well suited for relational data, the assembly is well suited for hierarchical data.
针对密集型数据查询要消耗大量内存的缺陷，设计了一种基于流的XM L文档查询算法。
A large amount of memories are consumed during dense data querying. A query processing algorithm based on XML stream is designed.
为了简化本文中的示例场景，您将使用单个DB2数据库来存储操作型数据和仓库数据。
To simplify the sample scenarios in this article, you'll use a single DB2 database to store both the operational data and warehouse data.
之所以要引入OLEDB，主要是为了给非关系型数据和关系型数据提供统一的数据访问。
OLE DB was introduced primarily to provide uniform data access to non-relational data as well as relational data.
如果两个源系统之间或源与目标之间存在不同级别的数据聚合，那么数值型数据尤其需要聚合。
When data between two source systems or the source and the target exist at different levels of aggregation, numeric data in particular may require aggregation.
嵌入了SQL的XQuery对于那些需要整合关系型数据和XML数据的应用程序非常有用。
XQuery with embedded SQL can be useful for applications that need to integrate relational and XML data.
当然，在生产环境中，操作型数据和仓库数据可能在不同的数据库中，通常在不同的服务器上。
Of course, in a production environment, operational data and warehouse data would be managed in separate databases, usually on separate servers.
这样的灵活性表现在语言支持中，使您可访问关系型数据、XML数据，或者同时访问这两种数据。
This flexibility is reflected in the language support, which allows you to access relational data, XML data, or both at the same time. You can query your XML in any of the following four ways.
应用推荐