What does RDID mean in DATABASES
RDID stands for Relationship Dependent Item Data, which refers to the type of data that is collected to form relationships between two (or more) items. This type of data is often used in various forms of research and analysis.
RDID meaning in Databases in Computing
RDID mostly used in an acronym Databases in Category Computing that means Relationship Dependent Item Data
Shorthand: RDID,
Full Form: Relationship Dependent Item Data
For more information of "Relationship Dependent Item Data", see the section below.
Essential Questions and Answers on Relationship Dependent Item Data in "COMPUTING»DB"
What is the meaning of RDID?
RDID stands for Relationship Dependent Item Data, which refers to the type of data that is collected to form relationships between two (or more) items.
What types of research use RDID?
RDID is often used in various forms of research and analysis. This could include research related to customer relations, supply chain management, data analytics, and more.
Where can I find information about RDID?
Information about RDID can be found in scholarly articles or on websites dedicated to topics such as data analytics and business intelligence.
What kind of data does RDID analyze?
RDID collects relationship dependent item data, meaning that it looks at how different items are related to one another through their respective characteristics or attributes.
How is RDID used?
RDID is primarily used in research or analysis projects involving relationships between various items or entities. This includes studies related to customer relations, supply chain management, or other analytical projects. The collected data can then be analyzed to provide valuable insights into these relationships.
Final Words:
In conclusion, RDID stands for Relationship Dependent Item Data and is used when collecting information on how different items are related based on their characteristics or attributes. It may be used in a wide range of research applications such as customer relations management and supply chain management among other areas where relationships between objects need to be studied further.