Data Integrity

AS2: Secure and Reliable EDI Data Exchange Protocol
Applicability Statement 2 (AS2) is a protocol used for the secure and reliable exchange of EDI data over the internet. AS2 provides digital signatures and encryption to ensure data integrity and security.
Checksum: A Tool for Data Integrity Verification
A comprehensive overview of checksum, a value used to verify the integrity of a block of data, computed by an algorithm that adds up the binary values in the data block.
Cyclic Redundancy Check: Advanced Error Detection
A detailed exploration of the Cyclic Redundancy Check (CRC), an advanced error detection technique used in digital networks and storage devices. Learn about CRC's definition, types, applications, and historical context.
Damm Algorithm: An Error Detection Algorithm
The Damm Algorithm is an advanced check digit algorithm designed to detect and correct errors in sequences of numbers, avoiding common weaknesses such as adjacent digit transpositions.
Data Cleansing: Process of Correcting or Removing Inaccurate Data
Data cleansing is a crucial process in data management that involves correcting or removing inaccurate, corrupted, incorrectly formatted, or incomplete data from a dataset.
DNSSEC: Security Extensions for DNS
Comprehensive guide to DNSSEC, its importance, functionality, key events, considerations, and related terminologies in network security.
Error Correction Code (ECC): Methods to Detect and Correct Errors in Data Storage
Comprehensive explanation of Error Correction Code (ECC), covering historical context, types, key events, mathematical models, importance, applicability, examples, related terms, and more.
Foreign Key: Database Integrity and Relationships
A Foreign Key is a field in one table that uniquely identifies a row in another table, ensuring relational database integrity and facilitating relationships between data.
General Controls: Ensuring Integrity in Computer-Based Systems
General Controls are essential in maintaining the security and integrity of computer-based accounting systems. They include measures for the development, implementation, and operation of these systems.
Hamming Codes: Error Detection and Correction
Hamming Codes use redundant parity bits to create a code word capable of detecting and correcting errors through specific algebraic checks.
Imputation: The Process of Replacing Missing Data with Substituted Values
Detailed exploration of imputation, a crucial technique in data science, involving the replacement of missing data with substituted values to ensure data completeness and accuracy.
Retransmission: The Process of Sending Data Again
Retransmission refers to the process of resending data, often initiated upon receiving a negative acknowledgment (NAK). This mechanism is crucial for ensuring data integrity in communication systems.
Test Data: Comprehensive Guide
An in-depth exploration of test data, its historical context, types, key events, detailed explanations, mathematical models, diagrams, importance, examples, related terms, FAQs, and more.
Check Digit: Ensuring Data Accuracy
A check digit is a digit appended to a number to assure its correctness following a computation. It helps in detecting errors during data entry or processing.
Write-Protect: Data Protection Mechanism
Write-Protect is a feature that places a signal to the computer not to write any data on a storage device, ensuring valuable data can be read but not accidentally overwritten.

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