Examples of using Data duplication in English and their translations into Japanese
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Programming
Increased parts reuse and decreased data duplication.
Data duplication will reduce significantly and there will be no risk of data loss.
First, we used Apache Kafka mainly for notification and data duplication purposes.
In this case, events are used for data duplication purposes, which eliminates remote queries and increases decoupling between services.
We started with a co-existing service from scratch,and introduced event-driven service interaction for data duplication purposes.
That's because APFS has been designed to reduce data duplication by sharing data between files as necessary.
Data duplication is avoided for the Manufacturing department and Inventory Management department, and accurate data is available to everyone.
In Questetra, it is possible to display a button for data duplication to external online calendarGoogle Calendar only: As of January.
HKNet's systems safeguard electronic communications by utilizing appropriate security protocols, including SSL, encryption,firewalls and data duplication.
Although it is ineffective in the case of"data duplication", it is a very effective method when flowing new Issue data to the business process.
There are several aspects of relationships that have to be considered carefully beforecreating documents that would otherwise lead to data duplication, poor performance and other issues.
When data is normalized, data duplication and redundancy are eliminated, so it is possible to prevent data inconsistency and loss due to data addition, update, deletion, etc.
The main advantage of a centralized ERPsystem is that it not only eliminates data duplication, but also improves productivity and customer satisfaction.
Events can be used for notification and for data duplication purposes(event driven state transfer; see example"Co-Existing Service from Scratch" above) and as a primary datasource through an event store by retaining events long term.
The main advantage of a centralized ERPsystem is that it not only eliminates data duplication, but also improves productivity and customer satisfaction.
GS1's global standards for identification and structured data enable blockchain network users to scale enterprise adoption and maintain a single, shared version of the truth about supply chain and logistics events- increasing data integrity and trust between parties,and reducing data duplication and reconciliation.
By collecting an organization's shared transactional data from multiple sources,ERP systems eliminate data duplication and provide data integrity with a“single source of truth".
Compared to the other event driven approaches, Apache Kafka Streams does not require maintaining a local copy,which reduces the overhead for data duplication and keeps this data in sync.
No data is extracted, copied or moved from the database, which helps maintain integrity,and greatly reduces data duplication and the risk of unauthorized access or a data breach.
Once only is a very powerful rule, as it defines the whole structure of the data collection in a country, what information is collected and who is responsible for maintaining it,making sure we avoid centralization of data, duplication of data, and guarantee that it's actually up to date.
The PaaS environment achieves efficiency in part through duplication of data.
Finding and removing duplication within data without compromising its fidelity or integrity.
Some adhere to the polyglot paradigm and employ multiple, separate database engines for different data representations,incurring duplication of data, and requiring mapping and integration across the different data stores.
And it leverages a single database engine that supports both relational and non-relational access to andmanipulation of the data without duplication.
The sharing of data in regards to aromatic amines reduces duplication of data across companies, avoiding the need to repeat potentially costly experiments.