i.)
Data Manipulation: In data manipulation information are re-sorted, rearranged
and otherwise moved, without fundamental changes. This process of reorganising
information helps 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: In data manipulation information are re-sorted, rearranged
and otherwise moved, without fundamental changes. This process of reorganising
information helps 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: Data verification is used to data was accurately
translated when data is transferred from one source to another, is complete, and
supports processes in the new system. The term data verification is a process where in different types of data are
checked for accuracy and inconsistencies after data migration is done. 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: Data verification is used to data was accurately
translated when data is transferred from one source to another, is complete, and
supports processes in the new system. The term data verification is a process where in different types of data are
checked for accuracy and inconsistencies after data migration is done. 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: This is testing of data for accuracy and
consistency and ensuring the correctness of information at any point in time
and to determine if information can remain reliable and correct throughout its
lifespan.
Data Integrity: This is testing of data for accuracy and
consistency and ensuring the correctness of information at any point in time
and to determine if information can remain reliable and correct throughout its
lifespan.
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.
