Understanding Data Integrity Course

Course Code: GK840039

Duration: 1 day

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Target Audience

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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

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Course Objectives

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• 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.

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Course Content

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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

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Course Prerequisites

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• 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

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