i.)
Data Manipulation: The term data manipulation refers to the process of
re-sorting, rearranging and otherwise moving data, without fundamentally
changing it. Reorganizing the data helps us to identify patterns that may
otherwise not be apparent. This is used both as a preparatory technique – i.e.
as a precursor to some other activity – or as a means of exploring the data as
an analytic tool in its own right.
Data Manipulation: The term data manipulation refers to the process of
re-sorting, rearranging and otherwise moving data, without fundamentally
changing it. Reorganizing the data helps us to identify patterns that may
otherwise not be apparent. This is used both as a preparatory technique – i.e.
as a precursor to some other activity – or as a means of exploring the data as
an analytic tool in its own right.
ii.)
Data Verification: This is a process of checking the accuracy and
validity of information in order to determine whether the information is
consistent. This is usually done after information is migrated from one
platform to another or whenever information is being transcribed or translated.
Data Verification: This is a process of checking the accuracy and
validity of information in order to determine whether the information is
consistent. This is usually done after information is migrated from one
platform to another or whenever information is being transcribed or translated.
iii.)
Data Validation: the process of data validation is to provide
certain well-defined guarantees for fitness, accuracy, and consistency for any
of various kinds of user input into an application or automated system. Data validation is the process of
ensuring or checking for correctness, meaningfulness, and security of data that
are input to the system.
Data Validation: the process of data validation is to provide
certain well-defined guarantees for fitness, accuracy, and consistency for any
of various kinds of user input into an application or automated system. Data validation is the process of
ensuring or checking for correctness, meaningfulness, and security of data that
are input to the system.
iv.) Data Integrity: Data
integrity refers to maintaining and assuring the
accuracy and consistency of data over its entire life-cycle, and is a critical aspect to the design,
implementation and usage of any system which stores, processes, or retrieves
data.
integrity refers to maintaining and assuring the
accuracy and consistency of data over its entire life-cycle, and is a critical aspect to the design,
implementation and usage of any system which stores, processes, or retrieves
data.
v.)
Data Security: It is a protective digital privacy measures that
are applied to prevent unauthorized access to computers, databases and
websites. Data security also protects data from corruption. Data security means protecting data,
such as a database, from destructive forces and from the unwanted actions of
unauthorized users.
Data Security: It is a protective digital privacy measures that
are applied to prevent unauthorized access to computers, databases and
websites. Data security also protects data from corruption. Data security means protecting data,
such as a database, from destructive forces and from the unwanted actions of
unauthorized users.
