The Big Data Security and Privacy Management course in Budapest is designed to help professionals understand the challenges and best practices for securing big data and ensuring privacy compliance.
From:
21-09-2026
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.
The Big Data Security and Privacy Management Training Courses in Budapest offer professionals a comprehensive understanding of how to safeguard large-scale data environments while ensuring responsible data governance and regulatory compliance. These programs are designed for cybersecurity specialists, data protection officers, IT managers, system architects, analysts, and organizational leaders responsible for managing sensitive information across distributed and high-volume digital systems.
Participants explore the principles of big data security, including data lifecycle protection, secure storage architectures, access control models, encryption practices, and monitoring strategies for high-velocity data flows. The courses also address privacy management frameworks that help organizations balance data utility with ethical and legal obligations related to personal information handling. Through hands-on simulations and use-case analysis, attendees learn to identify data vulnerabilities, mitigate internal and external risks, implement privacy-by-design strategies, and ensure transparency in data processing activities.
These data security and privacy management training programs in Budapest emphasize integrating technical controls with governance and compliance practices. Participants gain practical experience in deploying security measures across cloud platforms, data lakes, and enterprise databases, while also evaluating privacy policies, consent management processes, vendor data agreements, and incident response procedures. The curriculum addresses emerging challenges such as securing machine learning datasets, monitoring data pipelines, and safeguarding information in hybrid and multi-cloud environments.
Attending these training courses in Budapest provides professionals with access to expert instructors and a collaborative learning environment enriched by a growing regional network of data-driven enterprises and technology innovators. The setting encourages the exchange of global perspectives on data ethics, digital trust, and organizational accountability. By completing this specialization, participants will be prepared to lead secure data strategy implementation, strengthen privacy compliance, and support responsible digital transformation—ensuring that large-scale data systems remain secure, transparent, and resilient in an increasingly complex and data-intensive world.