GoLang, designed for speed, simplicity, and concurrency, has emerged as a top-tier language for developing high-performance data systems that demand scalability, reliability, and low latency. This GoLang for High-Performance Data Systems training course empowers data engineers, backend developers, and systems architects with the tools to build production-grade, efficient, and fault-tolerant data services. Participants will gain hands-on experience in writing concurrent Go programs, interfacing with databases, developing RESTful APIs, and implementing high-throughput streaming and data processing services. The course emphasizes Go’s strengths in system-level programming and microservices architecture, making it ideal for anyone building modern data infrastructure.

Duration: 10 Days

Target Audience

• Data Engineers building real-time data systems
• Software Developers transitioning to backend/data infrastructure roles
• DevOps Engineers optimizing data pipelines
• Backend Engineers implementing high-concurrency services
• Systems Engineers designing distributed systems
• Cloud Engineers working on scalable data solutions
• Performance Engineers responsible for tuning services
• Computer Science graduates aiming for GoLang-based data roles

Course Objectives

• Understand GoLang’s architecture and performance benefits
• Develop concurrent and parallel data processing programs
• Build resilient and scalable APIs and microservices
• Interface Go applications with relational and NoSQL databases
• Implement high-throughput event-driven data systems
• Use Go routines, channels, and worker pools effectively
• Secure Go services and handle error management
• Write unit tests and benchmark Go code
• Integrate Go with data message brokers like Kafka or NATS
• Deploy Go services using containers and CI/CD pipelines
• Optimize Go-based systems for performance and memory usage

Module 1: Introduction to GoLang and Its Ecosystem

• Go's design philosophy and compiler architecture
• Setting up the Go environment and workspace
• Introduction to Go modules and packages
• Project structure and dependency management
• Running and debugging basic Go programs

Module 2: Core Language Syntax and Best Practices

• Variables, types, and constants
• Control structures and looping mechanisms
• Functions, parameters, and return values
• Error handling and panic recovery
• Code formatting and documentation

Module 3: Structs, Interfaces, and Composition

• Understanding structs and embedded types
• Defining and implementing interfaces
• Interface polymorphism in Go
• Value vs pointer receivers
• Organizing reusable components

Module 4: Concurrency with Goroutines and Channels

• Introduction to Go’s concurrency model
• Creating and managing goroutines
• Channel types: unbuffered and buffered
• Synchronization patterns and worker pools
• Avoiding deadlocks and race conditions

Module 5: Working with Files and JSON Data

• Reading and writing files efficiently
• Parsing and encoding JSON data
• Struct tags and data binding
• File streaming and data chunking
• Logging and error management

Module 6: Database Integration with Go

• Connecting to PostgreSQL/MySQL with database/sql
• Executing queries and scanning results
• Connection pooling and transaction management
• ORM libraries (GORM, sqlc)
• Handling database errors gracefully

Module 7: RESTful API Development in Go

• Building APIs using net/http and Gorilla Mux
• Handling routes, middleware, and JSON responses
• Authentication and rate limiting
• Testing HTTP endpoints
• Creating secure and versioned APIs

Module 8: Building Microservices with Go

• Microservices architecture fundamentals
• Service discovery and inter-service communication
• Resilience with retries and circuit breakers
• Logging, tracing, and observability
• Managing configuration and environment variables

Module 9: Real-Time Data Streaming Systems

• Integrating Go with Kafka or NATS
• Publishing and consuming streaming data
• Message serialization formats (Avro, Protobuf)
• Batch vs stream processing architecture
• Scaling Go consumers

Module 10: Performance Optimization Techniques

• Benchmarking with Go’s testing tools
• Profiling CPU, memory, and blocking calls
• Garbage collection tuning and memory leaks
• Efficient string and slice operations
• Avoiding common performance pitfalls

Module 11: Testing and Debugging in Go

• Writing unit tests and using test suites
• Test coverage and mocking dependencies
• Table-driven testing pattern
• Debugging with Delve and VS Code
• Continuous testing with CI pipelines

Module 12: Working with NoSQL and Cloud Storage

• Integrating with Redis, MongoDB, or DynamoDB
• CRUD operations and indexing strategies
• Cloud storage SDKs for S3, GCS, Azure Blob
• Writing cloud-agnostic storage handlers
• Managing data backup and restore

Module 13: Building Command-Line Tools for Data Processing

• Parsing flags and command-line arguments
• Reading large input streams
• Batch processing using pipelines
• Formatting outputs and exporting results
• Scheduling cron jobs and automation

Module 14: Dockerizing and Deploying Go Applications

• Writing Dockerfiles for Go services
• Multi-stage builds and image optimization
• Running Go in Kubernetes
• Deploying Go apps on cloud platforms
• Environment-based configuration management

Module 15: Capstone Project: End-to-End Data Service in Go

• Designing a real-world high-throughput data service
• Building API, streaming layer, and persistence
• Implementing authentication and validation
• Load testing and performance tuning
• Deploying the complete solution with monitoring

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.