Data Engineering & Cybersecurity Training Course: Secure Data Pipelines

Introduction

Fortify your data infrastructure with our Data Engineering and Cybersecurity Training Course. This program is designed to equip you with the essential skills to secure data pipelines and data stores, ensuring your data remains protected against evolving cyber threats. In today's data-driven world, mastering cybersecurity for data engineering is crucial for organizations seeking to maintain data integrity and compliance. Our data security training course offers hands-on experience and expert guidance, empowering you to implement robust security measures for diverse data engineering workflows.

This secure data pipelines training delves into the core concepts of cybersecurity applied to data engineering, covering topics such as data encryption, access control, and threat detection. You'll gain expertise in using industry-standard tools and techniques to secure data pipelines and data stores, meeting the demands of modern data-intensive environments. Whether you're a data engineer, security analyst, or data architect, this Data Engineering and Cybersecurity course will empower you to build and maintain secure and compliant data solutions.

Target Audience:

• Data Engineers
• Security Analysts
• Data Architects
• Data Scientists
• DevOps Engineers
• Compliance Officers
• Anyone needing data engineering cybersecurity skills

Course Objectives:

• Understand the fundamentals of data engineering and cybersecurity.
• Master data encryption and masking techniques for data protection.
• Utilize access control and authentication mechanisms for data stores.
• Implement threat detection and incident response for data pipelines.
• Design and build secure data pipeline architectures.
• Optimize data security for compliance and regulatory requirements.
• Troubleshoot and address common security vulnerabilities in data systems.
• Implement data governance and audit logging for security monitoring.
• Integrate security tools and practices with data engineering platforms.
• Understand how to manage large-scale data security implementations.
• Explore advanced cybersecurity patterns for data engineering (e.g., zero trust, data loss prevention).
• Apply real world use cases for cybersecurity in data engineering.
• Leverage security tools and frameworks for efficient data protection.

Duration

10 Days

Course content

Module 1: Introduction to Data Engineering Cybersecurity

• Fundamentals of data engineering and cybersecurity.
• Overview of data encryption, access control, and threat detection.
• Setting up a secure data engineering environment.
• Introduction to cybersecurity tools and methodologies.
• Best practices for data security.

Module 2: Data Encryption and Masking

• Mastering data encryption and masking techniques for data protection.
• Utilizing encryption algorithms and key management.
• Implementing data masking for sensitive information.
• Designing and building secure data storage solutions.
• Best practices for data encryption.

Module 3: Access Control and Authentication

• Utilizing access control and authentication mechanisms for data stores.
• Implementing role-based access control (RBAC).
• Designing and building authentication systems.
• Optimizing access control for data security.
• Best practices for authentication.

Module 4: Threat Detection and Incident Response

• Implementing threat detection and incident response for data pipelines.
• Utilizing security information and event management (SIEM) tools.
• Designing and building incident response plans.
• Optimizing threat detection for real-time alerts.
• Best practices for threat detection.

Module 5: Secure Data Pipeline Architectures

• Designing and building secure data pipeline architectures.
• Utilizing secure data transmission protocols.
• Implementing secure data storage and processing.
• Designing secure data flow architectures.
• Best practices for secure architectures.

Module 6: Compliance and Regulatory Requirements

• Optimizing data security for compliance and regulatory requirements.
• Utilizing compliance frameworks (GDPR, HIPAA).
• Implementing data privacy and security policies.
• Designing compliant data systems.
• Best practices for compliance.

Module 7: Troubleshooting Security Vulnerabilities

• Troubleshooting and addressing common security vulnerabilities in data systems.
• Analyzing security logs and vulnerability scans.
• Utilizing problem-solving techniques for resolution.
• Resolving common security errors.
• Best practices for troubleshooting.

Module 8: Data Governance and Audit Logging

• Implementing data governance and audit logging for security monitoring.
• Utilizing audit logging and data lineage tracking.
• Designing and building data governance frameworks.
• Optimizing governance for security compliance.
• Best practices for governance.

Module 9: Integration with Security Tools

• Integrating security tools and practices with data engineering platforms.
• Utilizing security information and event management (SIEM) tools.
• Implementing vulnerability scanning and penetration testing.
• Designing efficient security tool integrations.
• Best practices for security integration.

Module 10: Large-Scale Security Implementations

• Understanding how to manage large-scale data security implementations.
• Utilizing security orchestration and automation.
• Implementing security operations center (SOC) practices.
• Designing scalable security solutions.
• Best practices for large scale security.

Module 11: Advanced Cybersecurity Patterns

• Exploring advanced cybersecurity patterns for data engineering (zero trust, data loss prevention).
• Utilizing zero trust security models.
• Implementing data loss prevention (DLP) strategies.
• Designing and building advanced security frameworks.
• Optimizing advanced patterns for specific applications.
• Best practices for advanced security.

Module 12: Real-World Use Cases

• Implementing cybersecurity for financial data pipelines.
• Utilizing data security for healthcare data systems.
• Implementing cybersecurity for e-commerce data platforms.
• Utilizing data security for IoT data streams.
• Best practices for real-world applications.

Module 13: Security Tools Implementation

• Utilizing security tools and frameworks (Vault, OpenSSL).
• Implementing security policies with specific tools.
• Designing and building automated security workflows.
• Optimizing tool usage for efficient protection.
• Best practices for tool implementation.

Module 14: Security Monitoring and Metrics

• Implementing security monitoring and metrics.
• Utilizing security information and event management (SIEM) dashboards.
• Designing and building security reports.
• Optimizing monitoring for real-time insights.
• Best practices for monitoring.

Module 15: Future Trends in Data Security

• Emerging trends in data engineering cybersecurity.
• Utilizing AI for security threat detection.
• Implementing security in cloud-native data environments.
• Best practices for future applications.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.