The repository for definitions of data processes data flows data stores and data elements is the "DATA DICTIONARY"
Data dictionary is a repository to store all information. Meta data is data about data. It is data that defines other data. The data dictionary can be metadata that describes some information about the database.
Data about other data is metadata.
The importance of data processing is that it presents data in the desired format. The processing of data will depend on the data that is input in the system.
Business Data Processing (BDP): Data processing in accounting or business management Scientific Data Processing (SDP): Data processing in experiments, or computations using data collected from such activities.
Data diddling is the changing of data before or during entry into the computer system. diddling. Examples include forging or counterfeiting documents used for data entry and exchanging valid disks and tapes with modified replacements.
rape, sodomy, molest, fondle, diddling
get a life ya its gay
The repository for definitions of data processes data flows data stores and data elements is the "DATA DICTIONARY"
Metadata is data that is about data.?æ Although it describes the data, it's not considered business data. Master data is business data. Run-time data is data that is in the process of being run.
Data Store Data Reserve Data Stow Data Warehouse Data Repository Data Depot Data Storehouse
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Data dictionary is a repository to store all information. Meta data is data about data. It is data that defines other data. The data dictionary can be metadata that describes some information about the database.
Metada data is data that describes other data.
Data cleaning is where the data may have missing data such as gender and the data manager has to go back to the source to find the data or data is incorrect and has to be corrected back at the source.
No, Moving data is not same as duplicating data. When we copy data that causes duplication of data . And while moving we are just changing the storage location of data.To copy data is duplication, but to move data does not cause duplication.
a noun u can get data and use data but not do data