The phrase 'maintain data consistency' is correct and can be used in written English.
It refers to the practice of ensuring that data in a database or other system is coherent and up to date. For example, you might say: "To ensure our data is accurate, it is essential that we maintain data consistency."
This paper presents two cache invalidation schemes to maintain data consistency between the server and clients in a mobile environment.
STM promises to ease concurrent and parallel software development, but relies on the possibility of abort conflicting transactions to maintain data consistency, which in turns affects the execution time of tasks carrying transactions.
Standardized provincial surveillance definitions maintain data consistency, enable facilities to benchmark, and allows for comparisons of disease trends over time.
To maintain data consistency, routines were implemented along with the wrappers to regenerate this table whenever new data is inserted into PROFESS.
Databases can also help maintain data consistency by checking that some standards are followed or by doing basic data quality checks.
The persistent nodes always replicate to increase availability maintaining data consistency.
In this framework, application and database tiers are installed at each replica and a multicast protocol maintains data consistency between replicas.
To be geologically practical, the method must take cross-sections as the main data source and must be capable of modeling areas with complex faults, maintaining data consistency as well as carrying out multi-body modeling.
This requires that the distributed system not only maintains data consistency across globally-distributed locations seamlessly, but also allows team members to access the storage system and computing resources transparently and securely.
However, building such a system remains as a difficult and challenging task, mainly due to the difficulty of maintaining data consistency among replicas and the lack of easy and efficient tools supporting the development procedure.
Consequently, the specific algorithms used to make such transformations, their implementation in software and the specific data storage structures, including data formats (i.e. databases or flat files) and variable naming conventions, are vital to maintaining data consistency and should be standardized and recorded to a maximal level for effective C&R of the data.
