AWS Big Data Security and Compliance Training Course

 AWS Big Data Security and Compliance Training Course 

Introduction 

AWS Big Data Security and Compliance Training Course is designed to equip professionals with advanced knowledge and practical skills in securing big data environments using Amazon Web Services (AWS) security technologies, cloud governance frameworks, and industry-leading compliance practices. As organizations increasingly adopt cloud-based data lakes, data warehouses, real-time analytics platforms, and artificial intelligence-driven data processing solutions, protecting sensitive information has become a critical business priority. This course explores AWS data security architecture, identity and access management, encryption, network security, data privacy, threat detection, vulnerability management, and regulatory compliance. Participants will gain practical expertise in implementing security controls across Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Kinesis, and AWS Lake Formation while strengthening enterprise data protection strategies. 

The training also focuses on modern cloud security challenges, including data breaches, insider threats, unauthorized access, ransomware, data sovereignty, and regulatory risks. Through practical exercises and global industry case studies, participants will learn to implement security automation, continuous compliance monitoring, audit logging, and risk-based governance across complex AWS big data infrastructures. The programme incorporates internationally recognized security principles and regulatory requirements, including ISO 27001, General Data Protection Regulation (GDPR), SOC 2, and Payment Card Industry Data Security Standard (PCI DSS). By combining AWS security best practices, hands-on demonstrations, and real-world implementation scenarios, participants will develop the capabilities required to design resilient, scalable, compliant, and secure big data architectures. 

Course Objectives 

By the end of this course, participants will be able to: 

1. Understand AWS big data security architecture and cloud security fundamentals.
2. Implement identity and access management using AWS IAM.
3. Apply advanced encryption techniques for data at rest and in transit.
4. Secure AWS data lakes using Amazon S3 and AWS Lake Formation.
5. Implement data classification, privacy, and protection strategies.
6. Configure network security and cloud infrastructure protection.
7. Apply GDPR, ISO 27001, SOC 2, and PCI DSS compliance requirements.
8. Conduct cloud security risk assessments and vulnerability management.
9. Implement continuous security monitoring and threat detection.
10. Configure AWS CloudTrail and Amazon CloudWatch for security auditing.
11. Strengthen big data governance and access control mechanisms.
12. Automate security compliance using AWS-native security services.
13. Design incident response and disaster recovery strategies for big data environments.

Organizational Benefits
 

1. Improved protection of sensitive enterprise data and digital assets.
2. Reduced cybersecurity risks and potential data breach incidents.
3. Enhanced regulatory compliance and audit readiness.
4. Stronger cloud governance and accountability.
5. Improved identity and access management practices.
6. Reduced operational costs associated with security incidents.
7. Increased customer confidence and organizational reputation.
8. Improved threat detection and incident response capabilities.
9. Secure and scalable big data infrastructure.
10. Stronger business continuity and operational resilience.

Target Audiences
 

1. Cloud security engineers and cybersecurity professionals.
2. AWS solutions architects and cloud infrastructure administrators.
3. Big data engineers and data architects.
4. Data protection and information security officers.
5. IT auditors and compliance specialists.
6. Database administrators and cloud operations teams.
7. Risk management and governance professionals.
8. Technology managers and enterprise security consultants.

Course Duration: 5 days

Course Modules

Module 1: Fundamentals of AWS Big Data Security
 

• AWS cloud security architecture and shared responsibility model.
• Big data security principles and emerging cybersecurity threats.
• AWS security services and infrastructure protection.
• Data lifecycle security and enterprise risk management.
• Security architecture for cloud-native analytics environments.
• Case Study: Netflix's cloud security and data protection practices.

Module 2: AWS Identity and Access Management
 

• AWS IAM users, groups, roles, and permission policies.
• Role-based access control and least privilege principles.
• Multi-factor authentication and identity federation.
• Secure cross-account access and permission boundaries.
• AWS IAM Access Analyzer and access auditing.
• Case Study: Enterprise-scale identity governance using centralized AWS access management.

Module 3: Data Encryption and Privacy Protection
 

• AWS Key Management Service and encryption architecture.
• Data encryption at rest and in transit.
• Customer-managed keys and key rotation strategies.
• Data masking, tokenization, and anonymization techniques.
• Secure management of sensitive information and credentials.
• Case Study: Financial institutions implementing encryption to protect customer data.

Module 4: Securing AWS Data Lakes and Storage
 

• Amazon S3 security configurations and bucket policies.
• AWS Lake Formation permissions and data governance.
• Data classification and sensitive information discovery.
• S3 versioning, lifecycle policies, and access logging.
• Preventing unauthorized data access and exfiltration.
• Case Study: Healthcare data lake security and patient information protection.

Module 5: Network Security and Infrastructure Protection
 

• Amazon VPC security architecture and network segmentation.
• Security groups, network access control lists, and firewalls.
• AWS PrivateLink and secure service connectivity.
• Private subnets and secure data transmission.
• AWS Network Firewall and intrusion prevention.
• Case Study: Enterprise financial data infrastructure protected through network segmentation.

Module 6: AWS Compliance and Data Governance
 

• GDPR, ISO 27001, SOC 2, and PCI DSS requirements.
• AWS Artifact and compliance documentation.
• Data sovereignty, residency, and privacy regulations.
• Security policies, governance frameworks, and audit controls.
• Continuous compliance assessment and reporting.
• Case Study: Global e-commerce organizations implementing regulatory compliance across cloud environments.

Module 7: Threat Detection, Monitoring, and Incident Response
 

• AWS CloudTrail and Amazon CloudWatch security monitoring.
• Amazon GuardDuty and intelligent threat detection.
• AWS Security Hub and centralized security management.
• Vulnerability assessment and security incident investigation.
• Incident response planning and automated remediation.
• Case Study: AWS-based security operations centres detecting and responding to suspicious data access.

Module 8: Security Automation and Best Practices
 

• Infrastructure as Code security using AWS CloudFormation.
• Automated compliance monitoring and security configuration.
• AWS Config rules and continuous security assessments.
• Secure data pipelines and big data processing workflows.
• Business continuity, disaster recovery, and security resilience.
• Case Study: Capital One's publicly documented cloud security incident and lessons on cloud governance, access controls, and risk management.

Training Methodology
 

• Instructor-led presentations and interactive technical discussions.
• Practical AWS security configuration exercises and demonstrations.
• Hands-on laboratories involving AWS IAM, S3, and Lake Formation.
• Global case study analysis and group-based problem-solving.
• Compliance assessment exercises and security risk simulations.
• Practical incident response scenarios and knowledge assessments.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.
 
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
 
c. Course duration is flexible and the contents can be modified to fit any number of days.
 
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
 
e. One-year post-training support Consultation and Coaching provided after the course.
 
f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.