Data Engineering • Interactive Module

Module 19: DataOps, Docker, CI/CD and Infrastructure as Code

Master production DataOps and software engineering for data platforms: Git collaboration, feature branching, merge conflicts, pull requests, Docker packaging, multi-stage image optimization, Docker Compose local development, CI/CD pipelines with GitHub Actions, automated testing (unit, integration, regression, data quality), Terraform declarative infrastructure as code, S3 remote state and DynamoDB locking, drift detection, secrets management, zero-downtime database migrations (Expand-and-Contract), deployment strategies (Blue-Green, Canary, Shadow, Rolling), rollback and data recovery, and Kubernetes batch processing.

Concept Overview & Direct Technical Answer

Direct Definition: Master production DataOps and software engineering for data platforms: Git collaboration, feature branching, merge conflicts, pull requests, Docker packaging, multi-stage image optimization, Docker Compose local development, CI/CD pipelines with GitHub Actions, automated testing (unit, integration, regression, data quality), Terraform declarative infrastructure as code, S3 remote state and DynamoDB locking, drift detection, secrets management, zero-downtime database migrations (Expand-and-Contract), deployment strategies (Blue-Green, Canary, Shadow, Rolling), rollback and data recovery, and Kubernetes batch processing.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/data-engineering/dataops-cicd. Free, open curriculum for software engineers, systems practitioners, and interview candidates.