15 Topics
10 Days
72 Sessions
Programme Overview
Training Description
Who Should Attend
This course is ideal for;
- Cloud Engineers
- Security Analysts
- Data Architects
- DevOps Engineers
- IT Managers
- Compliance Officers
- Anyone needing Big Data and cloud security skills
Session Objectives
- Understand the fundamentals of Big Data and cloud security.
- Master cloud-specific security challenges and solutions.
- Utilize data encryption and access control techniques for cloud Big Data.
- Implement compliance and regulatory standards in cloud environments.
- Design and build secure cloud Big Data architectures.
- Optimize security configurations for cloud Big Data platforms.
- Troubleshoot and mitigate security risks in cloud deployments.
- Implement security monitoring and incident response.
- Integrate security tools and services with cloud Big Data solutions.
- Understand how to manage and audit cloud security configurations.
- Explore advanced security patterns for cloud Big Data.
- Apply real world use cases for secure cloud Big Data deployments.
- Leverage cloud-native security services for Big Data protection.
About the Course
As enterprises shift critical data workflows into cloud environments, establishing scalable, policy-driven security measures becomes paramount. The Big Data and Cloud Security Training Course delivers comprehensive training focused on the core pillars of cloud infrastructure defense: identity management, encryption, access control, and regulatory compliance. Designed for data architects, security analysts, and cloud platform engineers, this course offers direct practical experience in deploying envelope encryption, configuring automated threat detection, and streamlining centralized security logging. Participants master the exact strategies necessary to safeguard sensitive organizational data assets, satisfy stringent audit requirements, and preserve operational efficiency across all enterprise data layers.
Curriculum & Topics
15 Topics | 72 Sessions
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Workshop 1.1:
Fundamentals of Big Data and cloud security.
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Workshop 1.2:
Overview of security challenges in cloud environments.
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Workshop 1.3:
Setting up a secure cloud Big Data development environment.
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Workshop 1.4:
Introduction to cloud security tools and frameworks.
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Workshop 1.5:
Best practices for Big Data and cloud security.
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Workshop 2.1:
Understanding cloud-specific security threats.
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Workshop 2.2:
Implementing cloud security best practices.
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Workshop 2.3:
Designing and building secure cloud architectures.
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Workshop 2.4:
Optimizing security configurations for cloud platforms.
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Workshop 2.5:
Best practices for cloud security.
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Workshop 3.1:
Utilizing data encryption techniques for cloud Big Data.
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Workshop 3.2:
Implementing role-based access control (RBAC).
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Workshop 3.3:
Designing and building secure data access policies.
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Workshop 3.4:
Optimizing access control for cloud environments.
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Workshop 3.5:
Best practices for data encryption.
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Workshop 4.1:
Implementing compliance standards (GDPR, HIPAA) in cloud.
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Workshop 4.2:
Utilizing regulatory frameworks for cloud security.
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Workshop 4.3:
Designing and building compliant cloud solutions.
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Workshop 4.4:
Optimizing cloud environments for regulatory compliance.
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Workshop 4.5:
Best practices for compliance.
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Workshop 5.1:
Designing and building secure cloud data architectures.
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Workshop 5.2:
Implementing security best practices in cloud deployments.
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Workshop 5.3:
Utilizing cloud-native security services.
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Workshop 5.4:
Optimizing cloud architecture for security.
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Workshop 5.5:
Best practices for cloud architecture.
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Workshop 6.1:
Optimizing security configurations for cloud Big Data platforms.
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Workshop 6.2:
Utilizing security automation tools.
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Workshop 6.3:
Implementing security hardening techniques.
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Workshop 6.4:
Designing scalable security configurations.
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Workshop 6.5:
Best practices for configuration optimization.
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Workshop 7.1:
Debugging security issues in cloud deployments.
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Workshop 7.2:
Analyzing security risks and vulnerabilities.
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Workshop 7.3:
Utilizing risk mitigation strategies.
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Workshop 7.4:
Resolving common security challenges.
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Workshop 7.5:
Best practices for risk mitigation.
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Workshop 8.1:
Implementing security monitoring tools and techniques.
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Workshop 8.2:
Utilizing incident response frameworks.
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Workshop 8.3:
Designing and building security dashboards.
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Workshop 8.4:
Optimizing security monitoring for cloud environments.
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Workshop 8.5:
Best practices for monitoring.
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Workshop 9.1:
Integrating security tools and services with cloud Big Data.
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Workshop 9.2:
Utilizing security APIs and connectors.
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Workshop 9.3:
Implementing data transfer between security and cloud systems.
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Workshop 9.4:
Best practices for integration.
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Workshop 10.1:
Managing cloud security configurations.
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Workshop 10.2:
Implementing security audits and assessments.
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Workshop 10.3:
Utilizing cloud security management tools.
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Workshop 10.4:
Optimizing cloud environments for security audits.
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Workshop 10.5:
Best practices for security management.
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Workshop 11.1:
Implementing advanced security patterns for cloud Big Data.
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Workshop 11.2:
Utilizing AI and machine learning for threat detection.
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Workshop 11.3:
Implementing zero-trust security models.
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Workshop 11.4:
Advanced techniques for cloud security implementation.
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Workshop 11.5:
Best practices for advanced patterns.
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Workshop 12.1:
Implementing secure cloud Big Data in healthcare.
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Workshop 12.2:
Utilizing secure cloud Big Data in finance.
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Workshop 12.3:
Implementing secure cloud Big Data in e-commerce.
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Workshop 12.4:
Utilizing secure cloud Big Data in government.
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Workshop 12.5:
Best practices for real world applications.
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Workshop 13.1:
Utilizing cloud-native security services (AWS Security Hub, Azure Security Center).
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Workshop 13.2:
Implementing serverless security solutions.
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Workshop 13.3:
Designing and managing cloud security services.
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Workshop 13.4:
Optimizing cloud security with native tools.
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Workshop 13.5:
Best practices for cloud-native security.
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Workshop 14.1:
Implementing security governance policies for cloud Big Data.
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Workshop 14.2:
Utilizing metadata management for security data.
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Workshop 14.3:
Implementing data lineage and audit trails.
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Workshop 14.4:
Best practices for security governance.
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Workshop 15.1:
Emerging trends in Big Data and cloud security.
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Workshop 15.2:
Utilizing AI and automation for security operations.
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Workshop 15.3:
Implementing real-time security analytics.
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Workshop 15.4:
Best practices for future security applications.
