Data APIs and Microservices Course: Developing Scalable Services for Modern Data Engineering

Introduction

The growing complexity of data ecosystems has created an urgent need for scalable, modular, and efficient architectures to deliver insights at speed. This course provides an in-depth exploration of how Data APIs and Microservices are transforming modern data engineering by enabling flexibility, agility, and scalability in managing enterprise data systems. Participants will learn the principles and practices that underpin microservices and how APIs serve as the backbone for distributed data architectures.

The training begins by covering the fundamentals of APIs, REST, GraphQL, and gRPC, alongside best practices in designing data-centric services. Participants will gain an appreciation of microservices architecture and its advantages over monolithic systems, focusing on how it enhances modular development, fault tolerance, and scalability.

Through practical labs, learners will build and deploy microservices for real-world data workflows, including ingestion, transformation, and distribution. Emphasis will be placed on containerization with Docker and orchestration using Kubernetes, enabling participants to operationalize data services in cloud-native environments.

A critical component of the course addresses governance, security, and monitoring. Participants will explore authentication, authorization, and API gateways for secure and reliable service management. Additionally, observability tools and monitoring frameworks will be introduced to ensure the resilience and performance of microservices-based architectures.

Finally, the course integrates emerging trends such as event-driven architectures, serverless computing, and real-time streaming APIs. By the end of the program, learners will be able to design, develop, and scale microservices that serve as a foundation for advanced data engineering practices, ensuring readiness for modern, data-driven enterprises.

Who Should Attend

• Data engineers looking to enhance skills in APIs and microservices.
• Backend developers transitioning to data engineering.
• Cloud architects designing scalable data systems.
• Software engineers building distributed applications.
• DevOps professionals managing containerized data workflows.
• IT managers overseeing digital transformation initiatives.
• Data architects integrating APIs into enterprise pipelines.
• API developers aiming to specialize in data engineering.
• Business intelligence professionals working with real-time data services.

Duration

5 days

Course Objectives

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

• Understand the role of APIs in modern data engineering.
• Design and implement RESTful and GraphQL APIs for data services.
• Apply microservices architecture to scalable data systems.
• Deploy microservices using Docker and Kubernetes.
• Integrate APIs into cloud and enterprise data pipelines.
• Ensure security and governance in API-driven environments.
• Build event-driven and streaming data microservices.
• Monitor and optimize API performance and reliability.
• Apply serverless functions for lightweight data services.
• Design future-ready architectures for evolving data engineering needs.

Comprehensive Course Outline

Module 1: Introduction to Data APIs and Microservices

• The evolution of APIs and microservices in data engineering.
• REST, GraphQL, and gRPC fundamentals.
• Comparing monolithic and microservices architectures.
• Benefits and challenges of microservices adoption.

Module 2: API Design and Best Practices

• Designing RESTful APIs for data pipelines.
• GraphQL for flexible data querying.
• API lifecycle management and versioning.
• Error handling and documentation best practices.

Module 3: Microservices Architecture for Data Systems

• Principles of microservices design.
• Service decomposition and domain-driven design.
• Fault tolerance and resilience in microservices.
• Case studies of data microservices in enterprise systems.

Module 4: Containerization and Orchestration

• Introduction to Docker for data services.
• Kubernetes orchestration for microservices.
• Scaling data APIs with container clusters.
• CI/CD pipelines for API and microservices deployment.

Module 5: Security and Governance in Data APIs

• Authentication and authorization strategies.
• API gateways and service mesh integration.
• Data privacy and compliance in API workflows.
• Auditing and access control in microservices.

Module 6: Real-Time and Event-Driven Architectures

• Streaming APIs for real-time data delivery.
• Event-driven microservices with Kafka.
• WebSockets and gRPC for real-time communication.
• Use cases of real-time analytics and dashboards.

Module 7: Cloud-Native API and Microservices Development

• APIs and microservices in AWS, Azure, and GCP.
• Serverless functions for data services.
• Hybrid and multi-cloud architectures.
• Cost optimization in cloud-based data services.

Module 8: Monitoring and Observability

• Metrics, logging, and distributed tracing.
• Tools for API and microservices monitoring.
• Detecting failures and performance bottlenecks.
• Building resilient and self-healing services.

Module 9: Advanced Topics in Data APIs and Microservices

• API monetization and developer portals.
• Micro frontends and API-first architectures.
• Machine learning model APIs.
• API marketplaces and ecosystem integration.

Module 10: Project and Future Trends

• End-to-end development of a microservices-based data platform.
• Emerging trends in API-driven data engineering.
• Preparing for AI-driven and autonomous microservices.
• Strategic adoption of microservices in modern enterprises.

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: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill 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 Upskill 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: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment

Unless otherwise agreed between the two parties payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better