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Course Overview

Organizations generate massive amounts of data daily, from customer transactions to IoT streams. While big data creates opportunities for insights, it also introduces complex challenges in security and privacy. Breaches, misuse, and non-compliance with regulations like GDPR and CCPA can severely impact business reputation and finances.

This Big Data Security and Privacy Management Training Course provides participants with practical knowledge of big data protection, risk management, and governance frameworks. It covers encryption, access control, compliance requirements, and future challenges posed by AI and cloud computing.

Through real-world case studies, technical labs, and regulatory analysis, participants will gain the skills to safeguard big data environments and ensure organizational trust and accountability.

Course Benefits

• Strengthen big data security strategies.

• Manage privacy risks and compliance requirements.

• Apply governance frameworks to data management.

• Reduce risks of breaches and misuse.

• Align data protection with business resilience.

Course Objectives

• Explore the fundamentals of big data security.

• Understand global data privacy regulations.

• Apply encryption and access control in big data systems.

• Assess and mitigate privacy risks.

• Develop governance strategies for data management.

• Analyze case studies of big data breaches.

• Prepare for future challenges in data security.

Training Methodology

The course blends expert-led lectures, data protection case studies, technical labs, and interactive group workshops. Participants will practice applying security frameworks to real-world big data scenarios.

Target Audience

• IT and cybersecurity professionals.

• Data protection officers (DPOs).

• Compliance and governance managers.

• Business leaders managing data-driven operations.

Target Competencies

• Big data protection and governance.

• Privacy risk management.

• Compliance with global data regulations.

• Secure system design and monitoring.

Course Outline

Unit 1: Introduction to Big Data Security and Privacy

• Challenges of securing large-scale data.

• Overview of privacy risks in big data.

• Role of governance and accountability.

• Case studies of big data breaches.

Unit 2: Data Protection Frameworks and Regulations

• GDPR, CCPA, and global data laws.

• Privacy by design and accountability.

• Cross-border data transfers and compliance.

• Enforcement cases and penalties.

Unit 3: Technical Security Measures for Big Data

• Encryption methods for data at rest and in transit.

• Identity and access management.

• Cloud security in big data environments.

• Lab: configuring access controls.

Unit 4: Privacy Risk Assessment and Mitigation

• Identifying and assessing privacy risks.

• Data classification and lifecycle management.

• Anonymization and pseudonymization techniques.

• Tools for risk monitoring and audits.

Unit 5: Governance, Resilience, and Future Trends

• Building data governance frameworks.

• Incident response in big data environments.

• Emerging risks from AI and IoT.

• Future of global data protection and security.

Ready to protect and govern your big data securely?
Join the Big Data Security and Privacy Management Training Course with EuroQuest International Training and build the expertise to manage compliance, privacy, and security in data-driven organizations.