Data Engineering & Agile Methodologies Training Course: Agile Data Pipelines

Introduction

Transform your data engineering workflows with our Data Engineering and Agile Methodologies Training Course. This program is designed to equip you with the essential skills to implement agile practices in data engineering, enabling you to deliver data solutions faster and more efficiently. In today's dynamic data landscape, mastering agile methodologies is crucial for organizations seeking to adapt quickly and deliver value. Our agile data engineering training course offers hands-on experience and expert guidance, empowering you to integrate agile principles into your data engineering projects.

This agile data pipelines training delves into the core concepts of agile methodologies tailored for data engineering, covering topics such as iterative development, continuous integration, and collaborative practices. You'll gain expertise in using industry-standard agile frameworks to implement agile practices in data engineering, meeting the demands of modern data-driven environments. Whether you're a data engineer, scrum master, or product owner, this Data Engineering and Agile Methodologies course will empower you to build and maintain flexible and responsive data solutions.

Target Audience:

• Data Engineers
• Scrum Masters
• Product Owners
• Data Architects
• Data Scientists
• Project Managers
• Anyone needing agile data engineering skills

Course Objectives:

• Understand the fundamentals of data engineering and agile methodologies.
• Master agile project planning and sprint management for data projects.
• Utilize iterative development and continuous integration in data pipelines.
• Implement collaborative practices and communication strategies for data teams.
• Design and build agile data architectures and infrastructure.
• Optimize data engineering workflows for agile delivery.
• Troubleshoot and address common challenges in agile data implementations.
• Implement data governance and compliance in agile data environments.
• Integrate agile practices with data engineering tools and platforms.
• Understand how to manage large-scale agile data projects.
• Explore advanced agile patterns for data engineering (e.g., DevOps integration, data mesh).
• Apply real world use cases for agile methodologies in data engineering.
• Leverage agile tools and frameworks for efficient data development.

Duration

10 Days

Course content

Module 1: Introduction to Agile Data Engineering

• Fundamentals of data engineering and agile methodologies.
• Overview of agile principles and frameworks for data projects.
• Setting up an agile data engineering environment.
• Introduction to agile tools and practices.
• Best practices for agile data engineering.

Module 2: Agile Project Planning and Sprints

• Mastering agile project planning and sprint management for data projects.
• Utilizing user stories and backlog management.
• Implementing sprint planning and review sessions.
• Designing and building iterative development plans.
• Best practices for agile planning.

Module 3: Iterative Development and CI/CD

• Utilizing iterative development and continuous integration in data pipelines.
• Implementing CI/CD pipelines for data engineering.
• Designing and building automated testing frameworks.
• Optimizing development for rapid feedback.
• Best practices for iterative development.

Module 4: Collaborative Practices and Communication

• Implementing collaborative practices and communication strategies for data teams.
• Utilizing daily stand-ups and retrospectives.
• Designing and building effective communication channels.
• Optimizing collaboration for team efficiency.
• Best practices for collaboration.

Module 5: Agile Data Architectures

• Designing and building agile data architectures and infrastructure.
• Utilizing modular and scalable data architectures.
• Implementing infrastructure as code (IaC).
• Optimizing architectures for agile development.
• Best practices for agile architecture.

Module 6: Workflow Optimization for Agile

• Optimizing data engineering workflows for agile delivery.
• Utilizing automation and workflow orchestration tools.
• Implementing agile data modeling and design.
• Designing efficient data processing workflows.
• Best practices for agile workflows.

Module 7: Troubleshooting Agile Data Implementations

• Troubleshooting and addressing common challenges in agile data implementations.
• Analyzing sprint backlogs and velocity charts.
• Utilizing problem-solving techniques for resolution.
• Resolving common agile data errors.
• Best practices for troubleshooting.

Module 8: Data Governance and Compliance in Agile

• Implementing data governance and compliance in agile data environments.
• Utilizing data security and access control.
• Designing and building compliance frameworks.
• Optimizing governance for agile projects.
• Best practices for governance.

Module 9: Integration with Agile Tools

• Integrating agile practices with data engineering tools and platforms.
• Utilizing agile project management tools.
• Implementing agile testing and deployment tools.
• Designing efficient tool integrations.
• Best practices for tool integration.

Module 10: Large-Scale Agile Data Projects

• Understanding how to manage large-scale agile data projects.
• Utilizing scaled agile frameworks (SAFe, LeSS).
• Implementing program and portfolio management.
• Designing scalable agile solutions.
• Best practices for large scale agile.

Module 11: Advanced Agile Patterns

• Exploring advanced agile patterns for data engineering (DevOps integration, data mesh).
• Utilizing DevOps practices for data pipelines.
• Implementing agile data mesh architectures.
• Designing and building advanced agile frameworks.
• Optimizing advanced patterns for specific applications.
• Best practices for advanced agile.

Module 12: Real-World Use Cases

• Implementing agile methodologies for data warehouse development.
• Utilizing agile practices for machine learning deployment.
• Implementing agile methodologies for data lake implementation.
• Utilizing agile practices for data governance initiatives.
• Best practices for real-world applications.

Module 13: Agile Tools Implementation

• Utilizing agile tools and frameworks (Jira, Confluence, GitLab).
• Implementing agile data projects with specific tools.
• Designing and building automated agile workflows.
• Optimizing tool usage for efficient delivery.
• Best practices for tool implementation.

Module 14: Agile Project Monitoring and Metrics

• Implementing agile project monitoring and metrics.
• Utilizing sprint velocity and burndown charts.
• Designing and building agile dashboards.
• Optimizing monitoring for real-time insights.
• Best practices for monitoring.

Module 15: Future Trends in Agile Data Engineering

• Emerging trends in agile methodologies for data engineering.
• Utilizing AI for agile project automation.
• Implementing agile practices in cloud-native 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