每个数据源必须有确定的管理人（业务角色）负责数据的精确性、完整性和安全性。
Every data source must have a defined custodian (a business role) responsible for the accuracy, integrity, and security of that data.
考虑到与日俱增的值和日常事务量，事务动作、存储过程和触发器对改善数据完整性和管理是很重要的。
Given the increasing value and daily transaction volume, movement towards transactions, stored procedures, and triggers was crucial in order to improve data integrity and governance.
另一方面，您可能选择根本不用这样的约束，而依靠应用程序的代码来管理自己的数据完整性。
On the other hand, you may choose not to use such constraints at all and rely on your application's code to manage its own data integrity.
也就是说，因为所有的资源管理器使用2pc，它们可以执行这里所描述的动作并且保证数据的完整性。
That is, because all the resource managers used 2pc, they are able to perform actions such as described here and guarantee data integrity.
接下来我们就会解释在本文实例中可恢复的资源管理器(参与者)如何从故障中恢复和保证数据完整性。
Next we illustrate how the recoverable resource managers (participants) in this example can recover from failures and insure data integrity.
外部文件存储更为灵活，但是无法从数据库管理的持久性和完整性中获益。
External file storage is more flexible but does not benefit from database-managed persistency and integrity.
EnterpriseReplication 的改进简化了管理、提高了数据完整性，并允许进行其他SQL操作。
The Enterprise Replication enhancements ease administration, improve data integrity, and allow additional SQL operations.
由于数据库管理器能够确定某一行何时会被修改，因此可以保证数据完整性，同时限制持有锁的时间。
Because the database manager can determine when a row is changed, it can ensure data integrity while limiting the time that locks are held.
影响数据管理和数据完整性的决策都应该出现在用例中。
Decisions impacting data management and data integrity should be founded on use cases.
在保持数据完整性的同时，它们控制对后端数据的访问并在内部对当前事务和数据库锁定进行管理。
They control access to the back-end data and internally manage current transactions and database locking while preserving data integrity.
支持基于用户提供的模式验证XML数据，这使得应用程序开发人员和数据库管理员可以对DB2中存储的 XML 数据实施数据完整性约束。
Support for validating XML data based on user-supplied schemas, which allows application developers and database administrators to enforce data integrity constraints for XML data stored in DB2.
备份与恢复是数据库管理员维护数据库安全性和完整性的重要操作。
The database manager defends the database security and the complete important operation is the backup with restores.
交通流数据质量检验可以保证从数据源所获得数据的正确性和完整性，为数据的管理和应用提供了可靠的数据基础。
Verifying quality of traffic flow data is to ensure the correctness and completeness of the data obtained from the data sources, providing reliable data for the data management and application.
管线数据模型的研究对管道完整性管理与应用具有重要意义。
The studying pipeline data model plays an important role in pipeline integrity management and its application.
材料消耗数据的准确性、及时性、完整性以及动态共享性等对于企业的生产与经营管理、制造成本的控制等都具有十分重要的作用。
The accuracy, timeliness, integrity and the dynamic share of its data play an important role in the management of the production and business, the control of manufacturing cost of the enterprises.
而对于后者则要求建立起数据一致性和完整性强，数据安全性好的数据库和管理功能。
Demand to set up consistency of the data and integrality to the latter strongly, the database of the data with good security and functions of management.
交通流数据质量检验可以保证从数据源所获得数据的正确性和完整性，并为数据的管理和应用提供可靠的数据基础。
The Verifying Quality of Traffic Flow Data is to ensure the completeness and accuracy of the data obtained from the data source, and provides reliable data for the data management and application.
数据完整性是信息系统的安全目标之一，该文描述了一个时间相关的数据库管理系统的完整性策略模型。
Integrity is one of the objectives related to information system security, this paper presents a model to specify integrity policies for temporal database management system.
同时，对系统中大量实时数据则采用内存数据库管理方式，并利用线程安全类来保证读取数据的完整性。
At the same time, the software deals with the real-time data by the means of memory database and USES the thread security class to maintain the data's integrity.
管理数据库功能负责维持数据管理数据库的完整性，包括描述信息和系统信息的完整。
The Administer database function is responsible for maintaining the integrity of the data Management database, which contains both Descriptive information and system information.
实践证明，本文提出的管道数据模型在我国管道完整性管理中具有很高的应用价值。
Practice has proved a high potential for applications of this proposed pipeline data model in China pipeline integrity management.
而对于后者则要求建立起数据一致性和完整性强，数据安全性好的数据库和管理功能。
But request the latter very much to create to rise the consistency of data is strong with the integrity, the database that the security of data like with manage the function.
而对于后者则要求建立起数据一致性和完整性强，数据安全性好的数据库和管理功能。
But request the latter very much to create to rise the consistency of data is strong with the integrity, the database that the security of data like with manage the function.
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