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: The term data verification
is a process where in different types of data are checked for accuracy and inconsistencies after data migration is done. It helps to determine whether data was
accurately translated when data is transferred from one source to another, is complete, and
supports processes in the new system. During verification, there may be a need
for a parallel run of both systems to identify areas of disparity and forestall
erroneous data loss.
Data Verification: The term data verification
is a process where in different types of data are checked for accuracy and inconsistencies after data migration is done. It helps to determine whether data was
accurately translated when data is transferred from one source to another, is complete, and
supports processes in the new system. During verification, there may be a need
for a parallel run of both systems to identify areas of disparity and forestall
erroneous data loss.
iii.)
Data Validation: Data validation is intended 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: Data validation is intended 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: The term data integrity refers to maintaining and assuring the accuracy and
consistency of data over its entire life-cycle, design, implementation and usage of any system
which stores, processes, or retrieves information.
consistency of data over its entire life-cycle, design, implementation and usage of any system
which stores, processes, or retrieves information.
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.
