Examples of using The data model in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
It carries a lot of baggage, and it doesn't match the data model of most programming languages.
A list of 27 key data elements required for the identification of high-risk consignments(incorporated into the data model);
Cassandra brings together the distributed systems technologies from Dynamo and the data model from Google's BigTable.
To put it another way, do we really need to model out all of FRBR to benefit from the data model?
SAM is a reactive, functional pattern that strives to simplify the interaction between the data model and the view.
Lastly, in resolution 2161(2014), the Secretariat is encouraged, with the assistance of the Team, to continue its work to implement the data model approved by the Committee in 2011.
Not old-fashioned enterprise"systems of record," such as ERP, where the data model seldom changes and you know roughly how many people will use it.
Phase 1: elaborates the data modeling process.
The data modeling process is always there,” he says.
The data models may be such that there really would be no difference made by the choice.
Operational Systems- This layer contains the data models, enterprise data repository, technological platforms etc.
NSW public servants have told the ABC the data models a"worst-case scenario", and expect new policies currently in place to mitigate the crisis.
The data models may be such that there really would be no difference made by the choice.
Building the data models will require processing massive data pools which, in most cases, are best matched to core data center capabilities.
In advanced Machine Learning, the underlying data itself helps shape the Data Models.
This article provides a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques.
As a data scientist, one should always look for accurate yet fast methods or functions to do the data modeling work.
Each action should be checked before moving to the next step, starting with the data modeling priorities from the business requirements.