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DevOps in Data Engineering: End-to-End Automation with CI/CD, Terraform & AWS - PART 1

CodeWithYu 1,479 4 weeks ago
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Dive into an in-depth exploration of End-to-End DevOps for Data Engineering! This video covers the essentials of integrating DevOps into data engineering workflows, from CI/CD strategies and automated testing to advanced topics like infrastructure as code and security scanning. Follow along with detailed timestamps to navigate each section of the journey. FULL VIDEO: https://youtu.be/RAPAO2ZMZb4 Timestamp: 0:00 Introduction 1:22 Introduction to DevOps in Data Engineering 3:44 Why CI/CD for Data Engineering 6:44 Key DevOps tools for Data Engineering 11:26 Automated Testing in Data Engineering 13:17 Challenges in Data Engineering DevOps 19:19 System Architecture 21:30 Setting up Terraform IaC project Scratch 43:00 Generating Data for Automation 1:25:49 Writing End to End Unit tests 1:42:50 DevOps Automation with Github Actions 1:50:00 Automating Security and Vulnerability Scanning 2:10:00 Dev Environment Automation 2:15:00 Deploying to Production Environment 2:20:00 DevOps Automation for AWS Data Engineering 2:41:00 Results And Automation of Results 2:43:00 Outro Resources: FULL SOURCE CODE: https://buymeacoffee.com/yusuf.ganiyu/full-source-code-end-end-devops-data-engineering 📌 Tags: DevOps, Data Engineering, CI/CD, Continuous Integration, Continuous Deployment, Automated Testing, Terraform, IaC, Github Actions, Security Scanning, Vulnerability Scanning, AWS, Unit Tests, Infrastructure Automation, Dev Environment, Production Deployment, System Architecture, Data Automation, DevOps Tools 🔥 Hashtags: #DevOps, #DataEngineering, #CICD, #Automation, #Terraform, #GithubActions, #AWS, #InfrastructureAsCode, #Security, #techtutorial

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