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