Normalization.
A Cyclic Redundancy Check is done as a first attempt to prevent corrupted data.
A cyclic redundancy check error or CRC error occurs when the data verification value is a redundancy. This is used in detecting common errors caused by noise in transmission channels.
A Cyclic Redundancy Check for DvDs with protection can easily be overcame. This is a detailed version of how to fix it (its really simple):Cyclic Redundancy Check Error - Data Error While Burning Dvds found at:http://hubpages.com/hub/cyclic-redundancy-check-errorI learned how to do it from there!
Data redundancy can be reduced by normalizing the database to eliminate duplicate data, creating relationships between tables, and using foreign keys to link related information. Using data validation rules and constraints can also help prevent redundant data from being entered into the database. Implementing a master data management strategy can centralize and standardize data, reducing redundancy across different systems.
Error detection at data link level is achieved by using a Frame Check Sequence (FCS) method like Parity, Checksum Calculation or Cyclic Redundancy Check (CRC).
controlling data redundancy
Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.
Data redundancy Lack of data redundancy Data inconsistency Data security
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
coding redundancy interpixel redundancy psycovisual redundancy
Vertical redundancy check (VRC)
one is a validation the other is redundancy clue is in the name