Data Engineering & Data Compliance Training Course: Compliance-driven Data Systems

Introduction

Safeguard your data integrity with our Data Engineering and Data Compliance Training Course. This program is designed to equip you with the essential skills to engineer data systems that adhere to data compliance regulations, ensuring your organization meets legal and ethical standards. In today's regulatory landscape, mastering data compliance is crucial for building trust and avoiding costly penalties. Our data compliance training course offers hands-on experience and expert guidance, empowering you to implement robust compliance strategies for diverse data engineering workflows.

This compliance-driven data systems training delves into the core concepts of data compliance applied to data engineering, covering topics such as data privacy, regulatory frameworks, and audit logging. You'll gain expertise in using industry-standard tools and techniques to engineer data systems that adhere to data compliance regulations, meeting the demands of modern data-intensive environments. Whether you're a data engineer, compliance officer, or data architect, this Data Engineering and Data Compliance course will empower you to build and maintain secure and compliant data solutions.

Target Audience:

• Data Engineers
• Compliance Officers
• Data Architects
• Data Scientists
• Security Analysts
• Legal Professionals
• Anyone needing data compliance skills

Course Objectives:

• Understand the fundamentals of data engineering and data compliance.
• Master data privacy regulations (GDPR, CCPA, HIPAA) and their impact on data systems.
• Utilize data governance frameworks for compliance management.
• Implement data audit logging and monitoring for regulatory requirements.
• Design and build compliant data pipelines and storage solutions.
• Optimize data systems for data security and privacy.
• Troubleshoot and address common compliance challenges in data engineering.
• Implement data retention and deletion policies for compliance.
• Integrate compliance tools and practices with data engineering platforms.
• Understand how to manage large-scale data compliance implementations.
• Explore advanced compliance patterns for data engineering (e.g., data anonymization, pseudonymization).
• Apply real world use cases for data compliance in data engineering.
• Leverage compliance tools and frameworks for efficient implementation.

Duration

10 Days

Course content

Module 1: Introduction to Data Compliance

• Fundamentals of data engineering and data compliance.
• Overview of key data privacy regulations and compliance requirements.
• Setting up a compliance-focused data engineering environment.
• Introduction to compliance tools and frameworks.
• Best practices for data compliance.

Module 2: Data Privacy Regulations

• Mastering data privacy regulations (GDPR, CCPA, HIPAA) and their impact on data systems.
• Utilizing data protection principles and requirements.
• Implementing data subject rights and access controls.
• Designing and building privacy-preserving data systems.
• Best practices for data privacy.

Module 3: Data Governance Frameworks

• Utilizing data governance frameworks for compliance management.
• Implementing data governance policies and procedures.
• Designing and building data catalogs and metadata management systems.
• Optimizing data governance for compliance.
• Best practices for governance.

Module 4: Data Audit Logging and Monitoring

• Implementing data audit logging and monitoring for regulatory requirements.
• Utilizing audit logging and data lineage tracking.
• Designing and building security information and event management (SIEM) systems.
• Optimizing monitoring for compliance.
• Best practices for auditing.

Module 5: Compliant Data Pipelines and Storage

• Designing and building compliant data pipelines and storage solutions.
• Utilizing data encryption and masking techniques.
• Implementing secure data transfer protocols.
• Designing compliant data storage architectures.
• Best practices for compliant systems.

Module 6: Data Security and Privacy Optimization

• Optimizing data systems for data security and privacy.
• Utilizing data access control and authentication mechanisms.
• Implementing data loss prevention (DLP) strategies.
• Designing secure and private data environments.
• Best practices for security.

Module 7: Troubleshooting Compliance Challenges

• Troubleshooting and addressing common compliance challenges in data engineering.
• Analyzing compliance logs and audit reports.
• Utilizing problem-solving techniques for resolution.
• Resolving common compliance errors.
• Best practices for troubleshooting.

Module 8: Data Retention and Deletion Policies

• Implementing data retention and deletion policies for compliance.
• Utilizing data lifecycle management tools.
• Designing and building data deletion workflows.
• Optimizing retention for regulatory requirements.
• Best practices for data retention.

Module 9: Integration with Compliance Tools

• Integrating compliance tools and practices with data engineering platforms.
• Utilizing compliance management systems.
• Implementing data discovery and classification tools.
• Designing efficient tool integrations.
• Best practices for tool integration.

Module 10: Large-Scale Compliance Implementations

• Understanding how to manage large-scale data compliance implementations.
• Utilizing compliance automation and orchestration.
• Implementing compliance monitoring and reporting.
• Designing scalable compliance solutions.
• Best practices for large scale compliance.

Module 11: Advanced Compliance Patterns

• Exploring advanced compliance patterns for data engineering (data anonymization, pseudonymization).
• Utilizing data anonymization techniques.
• Implementing data pseudonymization for privacy preservation.
• Designing and building advanced compliance frameworks.
• Optimizing advanced patterns for specific applications.
• Best practices for advanced compliance.

Module 12: Real-World Use Cases

• Implementing data compliance for financial data systems.
• Utilizing data compliance for healthcare data platforms.
• Implementing data compliance for e-commerce data pipelines.
• Utilizing data compliance for government data management.
• Best practices for real-world applications.

Module 13: Compliance Tools Implementation

• Utilizing compliance tools and frameworks (OneTrust, Collibra).
• Implementing compliance policies with specific tools.
• Designing and building automated compliance workflows.
• Optimizing tool usage for efficient compliance.
• Best practices for tool implementation.

Module 14: Compliance Monitoring and Metrics

• Implementing compliance monitoring and metrics.
• Utilizing data compliance dashboards and reports.
• Designing and building compliance monitoring systems.
• Optimizing monitoring for real-time insights.
• Best practices for monitoring.

Module 15: Future Trends in Data Compliance

• Emerging trends in data engineering compliance.
• Utilizing AI for compliance automation.
• Implementing compliance in cloud-native data environments.
• Best practices for future applications.

Data engineering and data compliance Training Course: How to engineer data systems that adhere to data compliance regulations.

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.