Advanced Study in Pharmaceutics.
Prepared By Miss Sudipta Roy, Associate Professor , East Point College of Pharmacy, Bangalore.
Course Name : Data Integrity Total hours : 30
Course Outcome :
1. To know data quality.
2. To manage data and to take decision.
3. To remive errors from data formatting when it was procured from huge data from different
databases.
Module I : 2 hours
Data Integration : Definition and objective, Advantage and Disadvntage , Application.
Module II : 2 hours
Data Quality : Definition and objective, Advantage and Disadvntage , Application.
Module III : 2 hours
Data Enrichment : Definition and objective, Advantage and Disadvntage , Application.
Module IV : 2 hours
Location Intelligence : Definition and objective, Advantage and Disadvntage , Application.
Module V : 4 hours
Data Integrity Database : Formatting errors, syntax errors, malware, ransomware attacks and
other malicious actions, Techopedia, Entity Integrity,Referential Integrity,Domain Integrity,
Data integrity versus data quality.
Module VI : 4 hours.
Management of Data Itegrity : Back up data, Manage data access, Enable logging, Verify and
validate data.
Module VII : 4 hours.
Data Security : Strict identity and access management, Network segmentation, Data backups,
At-rest encryption,Threat identification systems (namely intrusion detection systems),
Various disaster recovery capabilities.
Module VIII : 6 hours.
Various types of Data Integrity : Physical Data Integrity,Logical integrity,Data Integrity
Risks,Examples of Data Integrity Violations, Data life cycle , Audit Trail, Strict access controls,
Error Detection Software , Identification and Elimination of Security Vulnerabilities.
Module IX: 4 hours.
Improvement of Integrity and to take Decision Fast.
Advanced StudyDataIntegrity 2023Planning

Advanced StudyDataIntegrity 2023Planning

  • 1.
    Advanced Study inPharmaceutics. Prepared By Miss Sudipta Roy, Associate Professor , East Point College of Pharmacy, Bangalore. Course Name : Data Integrity Total hours : 30 Course Outcome : 1. To know data quality. 2. To manage data and to take decision. 3. To remive errors from data formatting when it was procured from huge data from different databases. Module I : 2 hours Data Integration : Definition and objective, Advantage and Disadvntage , Application. Module II : 2 hours Data Quality : Definition and objective, Advantage and Disadvntage , Application. Module III : 2 hours Data Enrichment : Definition and objective, Advantage and Disadvntage , Application. Module IV : 2 hours Location Intelligence : Definition and objective, Advantage and Disadvntage , Application. Module V : 4 hours Data Integrity Database : Formatting errors, syntax errors, malware, ransomware attacks and other malicious actions, Techopedia, Entity Integrity,Referential Integrity,Domain Integrity, Data integrity versus data quality. Module VI : 4 hours. Management of Data Itegrity : Back up data, Manage data access, Enable logging, Verify and validate data. Module VII : 4 hours.
  • 2.
    Data Security :Strict identity and access management, Network segmentation, Data backups, At-rest encryption,Threat identification systems (namely intrusion detection systems), Various disaster recovery capabilities. Module VIII : 6 hours. Various types of Data Integrity : Physical Data Integrity,Logical integrity,Data Integrity Risks,Examples of Data Integrity Violations, Data life cycle , Audit Trail, Strict access controls, Error Detection Software , Identification and Elimination of Security Vulnerabilities. Module IX: 4 hours. Improvement of Integrity and to take Decision Fast.