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Data Management
Data Management
Data management comprises all the disciplines
related to managing data as a valuable resource.
Data Processing
Data processing is, broadly, "the collection and manipulation
of items of data to produce meaningful information."
• Data is raw, unorganized facts that need to be processed.
Data can be something simple and seemingly random and
useless until it is organized. For example each student's
test score is one piece of data.
• Information is when data is processed, organized,
structured or presented in a given context so as to make it
useful, it is called information. For example the average
score of a class or of the entire school is information that
can be derived from the given data.
Data processing may involve various processes, including:
• Validation – Ensuring that supplied data is "clean, correct and
useful"
• Sorting – "arranging items in some sequence and/or in different
sets."
• Summarization – reducing detail data to its main points.
• Aggregation – combining multiple pieces of data.
• Analysis – the "collection, organization, analysis, interpretation and
presentation of data."
• Reporting – list detail or summary data or computed information.
• Classification – separates data into various categories.
Data Security
• Protecting Data
• Encryption
• Software Based Security
• Hardware Based Security – Like dongles
• Backups
• Data masking (hiding some data)
• Date erasure (as apposed to deleting)
Disaster Recovery Plan
A disaster recovery plan (DRP) is a documented
process or set of procedures to recover and
protect a business IT infrastructure in the event
of a disaster.
Benefits
• Providing a sense of security
• Minimizing risk of delays
• Guaranteeing the reliability of standby systems
• Providing a standard for testing the plan
• Minimizing decision-making during a disaster
• Reducing potential legal liabilities
• Lowering unnecessarily stressful work
environment
Audit Trails
• Audit trails maintain a record of system activity
both by system and application processes and by
user activity of systems and applications. Audit
trails can assist in detecting security violations,
performance problems, and application flaws.
• An audit trail is a series of records of computer
events. A computer system may have several
audit trails, each devoted to a particular type of
activity.
Backup Techniques
• Full Backups
• Incremental Backups
• Differential Backups
• … and Daily Backups are mentioned in the
syllabus too
Online Data Management
Online data management is all about using
Internet-based software systems to securely
collect and manage organisational data, giving
up-to-date alerts, insights and reports that will
ensure control and help in making the right
decisions - no matter if staff are in or out of the
office.
Online Data Management
• It can bring data together from different
sources and replace out-dated IT systems with
a centralised solution. It can give you better
access, control and visibility over the data
that's important to your organisation and give
you up-to-date insights and analysis to ensure
you're making the right decisions.

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Data management

  • 2. Data Management Data management comprises all the disciplines related to managing data as a valuable resource.
  • 3. Data Processing Data processing is, broadly, "the collection and manipulation of items of data to produce meaningful information." • Data is raw, unorganized facts that need to be processed. Data can be something simple and seemingly random and useless until it is organized. For example each student's test score is one piece of data. • Information is when data is processed, organized, structured or presented in a given context so as to make it useful, it is called information. For example the average score of a class or of the entire school is information that can be derived from the given data.
  • 4. Data processing may involve various processes, including: • Validation – Ensuring that supplied data is "clean, correct and useful" • Sorting – "arranging items in some sequence and/or in different sets." • Summarization – reducing detail data to its main points. • Aggregation – combining multiple pieces of data. • Analysis – the "collection, organization, analysis, interpretation and presentation of data." • Reporting – list detail or summary data or computed information. • Classification – separates data into various categories.
  • 5. Data Security • Protecting Data • Encryption • Software Based Security • Hardware Based Security – Like dongles • Backups • Data masking (hiding some data) • Date erasure (as apposed to deleting)
  • 6. Disaster Recovery Plan A disaster recovery plan (DRP) is a documented process or set of procedures to recover and protect a business IT infrastructure in the event of a disaster.
  • 7. Benefits • Providing a sense of security • Minimizing risk of delays • Guaranteeing the reliability of standby systems • Providing a standard for testing the plan • Minimizing decision-making during a disaster • Reducing potential legal liabilities • Lowering unnecessarily stressful work environment
  • 8. Audit Trails • Audit trails maintain a record of system activity both by system and application processes and by user activity of systems and applications. Audit trails can assist in detecting security violations, performance problems, and application flaws. • An audit trail is a series of records of computer events. A computer system may have several audit trails, each devoted to a particular type of activity.
  • 9. Backup Techniques • Full Backups • Incremental Backups • Differential Backups • … and Daily Backups are mentioned in the syllabus too
  • 10. Online Data Management Online data management is all about using Internet-based software systems to securely collect and manage organisational data, giving up-to-date alerts, insights and reports that will ensure control and help in making the right decisions - no matter if staff are in or out of the office.
  • 11. Online Data Management • It can bring data together from different sources and replace out-dated IT systems with a centralised solution. It can give you better access, control and visibility over the data that's important to your organisation and give you up-to-date insights and analysis to ensure you're making the right decisions.