COURSE OBJECTIVE:
• Identify the core concepts of data integrity and its significance in data management.
• Describe the different types of data integrity
• Analyze common threats to data integrity and their potential impacts on business operations
• Apply data integrity principles in real-world scenarios to ensure accuracy, consistency, and reliability of data.
• Evaluate the effectiveness of different data integrity strategies in various contexts.
• Design data integrity policies and procedures tailored to organizational needs.
• Assess the effectiveness of data integrity measures through audits and monitoring.
TARGET AUDIENCE:
This course is meant for someone with 1+ years experience.
– Data Professionals
– Database administrators, System Administrators
– IT Managers
– Business Intelligence Professionals
– QA Analysts
– Business Leaders
COURSE PREREQUISITES:
• Foundational knowledge of data management concepts, including data storage, retrieval, and basic database operations
• A basic understanding of how databases work
• An understanding of basic data security practices, such as data access controls, encryption, and data privacy regulations, is beneficial
• Participants should be comfortable working with IT systems and have a basic understanding of technical concepts related to data and databases.
• Critical thinking and problem-solving skills are important, as the course will involve identifying and addressing potential data integrity issues.
• Participants should be ready to engage in hands-on exercises and practical labs that involve working with data and implementing data integrity measures
COURSE CONTENT:
Introduction to Data Integrity
• Identify the importance of data integrity in modern data management systems.
• Data Integrity in the age of AI
• Principles of Data Integrity
• Data Integrity vs. Data Security vs. Data Quality
• Data Integrity in various industries
Types of Data Integrity
• Physical Integrity
• Logical Integrity
Threats/Risks to Data Integrity
• Common threats to Data Integrity
Ensuring Data Integrity
• Best Practices to Maintain Data Integrity
Advanced Data Integrity Concepts
• Advanced Data Integrity Strategies
Designing Data Management Strategies in an Organization for Data Integrity
• Effective Data Governance policies
• ISO Standards for Data Quality and Governance
Monitoring and Auditing Data Integrity
• Techniques for monitoring and auditing Data Integrity
FOLLOW ON COURSES:
Not available. Please contact.