Big Data Privacy and Security Management

5 units

Please select a city/session before registration.

About this program

Every day, organizations produce vast volumes of data ranging from customer transactions to IoT device streams. While big data offers valuable insights, it simultaneously presents intricate challenges related to security and privacy. Data breaches, improper use, and failure to adhere to regulations such as GDPR and CCPA can significantly damage a company's reputation and financial standing.

This Big Data Security and Privacy Management Training Course equips participants with hands-on knowledge about protecting big data, managing risks, and implementing governance frameworks. Topics include encryption methods, access control mechanisms, compliance obligations, and emerging issues driven by AI and cloud technologies.

Using real-life case studies, practical technical labs, and regulatory reviews, attendees will develop the expertise necessary to secure big data infrastructures and foster organizational trust and accountability.

Course benefits

  • Enhance security strategies for big data environments.
  • Effectively manage privacy risks and regulatory compliance.
  • Implement governance frameworks in data management processes.
  • Minimize the likelihood of data breaches and misuse.
  • Synchronize data protection efforts with overall business resilience.

Key outcomes

  • Understand core principles of big data security.
  • Gain knowledge of international data privacy laws.
  • Implement encryption techniques and access controls within big data platforms.
  • Evaluate and reduce privacy-related risks.
  • Formulate governance approaches for effective data management.
  • Examine real-world examples of big data security incidents.
  • Anticipate and prepare for upcoming challenges in data protection.

Who should attend

  • Professionals in IT and cybersecurity.
  • Data Protection Officers (DPOs).
  • Managers responsible for compliance and governance.
  • Business executives overseeing data-centric operations.

Course outline

1

Unit 1: Fundamentals of Big Data Security and Privacy Protection

  • Difficulties in safeguarding extensive data collections.
  • An overview of privacy threats in big data contexts.
  • The importance of governance and responsibility.
  • Illustrative examples of big data security breaches.
2

Unit 2: Regulatory Standards and Data Protection Models

  • An examination of GDPR, CCPA, and international data privacy laws.
  • Principles of privacy by design and accountability.
  • Managing compliance for cross-border data exchanges.
  • Analysis of enforcement actions and associated fines.
3

Unit 3: Implementing Technical Security Controls in Big Data

  • Encryption techniques for data storage and transmission.
  • Managing identities and access rights.
  • Ensuring cloud security within big data infrastructures.
  • Practical session: setting up access control configurations.
4

Unit 4: Assessing and Mitigating Privacy Risks

  • Techniques for identifying and evaluating privacy threats.
  • Data categorization and managing data throughout its lifecycle.
  • Methods for anonymization and pseudonymization.
  • Utilizing tools for risk tracking and auditing.
5

Unit 5: Data Governance, System Resilience, and Emerging Developments

  • Establishing frameworks for effective data governance.
  • Handling incident response in big data settings.
  • New risks introduced by AI and IoT technologies.
  • Prospects for the evolution of global data security and privacy.