Examples of using Data consistency in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Those embarking on customer analytics commonly complain about siloed data repositories, poor data consistency, incompatible data types and long project lead times.
Blockchain promises to deliver more data consistency without sacrificing application flexibility.
They would make sharding improvements, but it was obvious they were unwilling or unable to make even rudimentary data consistency guarantees.
Some business transactions, however, span multiple services so you need a mechanism to ensure data consistency across services.
Maximise your investments- ensure master data consistency across regions, markets and your enterprise.
Some business transactions, however, span multiple service so you need a mechanism to ensure data consistency across services.
Unlike popular commercial data stores, Dynamo exposes data consistency and reconciliation logic issues to the developers.
Data consistency refers to whether the logical relationship between correlated data is correct and complete.
In this regard, UNCTAD and other international organizations are working to improve data consistency among countries for comparability and data comprehensiveness.
This enables the SOA to support data consistency, and consistency in data quality.
We trade off between throughput and latency, data consistency and response time, new features and system stability, the list goes on.
The benefits of using common architecture include not only data consistency and reduced cost, but also flexibility and interoperability.
In addition, the Task Force will focus on issues such as data capturing for partner country breakdown, data consistency checking and compiling Foreign Affiliates Statistics.
One representative, speaking on behalf of a number of countries, also called for improved mechanisms to ensure better data consistency.
Another difference between NoSQL and relational DBMSes is how data consistency is provided.
The application(and hence, each individual application developer) is responsible for accessing data, implementing business rules, and data consistency.
A centralized repository for all data sets not only simplifies management and governance of data but also ensures data consistency and model auditability.
For example, one database technology might provide a higher guarantee of availability while providing lower data consistency and durability guarantees than another technology.