Infra-as-Code for Data Engineers with Terraform
Description
Are you a Data Engineer looking to take your infrastructure management skills to the next level? In today's dynamic cloud computing landscape, mastering Infrastructure as Code (IaC) is essential for maintaining efficient, scalable, and consistent Azure environments. This one-day course, "Terraform - Infra-as-Code for Data Engineers," is specifically tailored to empower experienced Data Engineers with the tools and knowledge needed to harness the power of Terraform for Azure.
With a foundation in version control and CI/CD practices, our course is designed to provide you with a seamless transition into the world of Terraform. You'll dive into Terraform's core concepts, gain practical experience in deploying Azure resources using Terraform, and discover best practices for organizing and maintaining your infrastructure code.
Whether you're looking to streamline data pipeline deployments, enhance security and compliance, or automate routine infrastructure tasks, this course equips you with the essential skills to excel in today's data-driven, cloud-native landscape. Join us and elevate your expertise to become a proficient Azure infrastructure manager with Terraform.
Skills gained
After this training:- Proficiency in Terraform Fundamentals: Students will have a strong grasp of Terraform's core concepts and how it fits into the Infrastructure as Code (IaC) landscape, enabling them to effectively manage Azure resources with Terraform.
- Hands-on Azure Resource Deployment: Students will be able to create, configure, and manage Azure resources using Terraform, including virtual machines, storage accounts, and databases, gaining practical experience in IaC for Azure.
- Best Practices and Code Organization: Students will understand best practices for organizing Terraform code, including variable management, code modularity, and workspace usage, ensuring clean and maintainable infrastructure code.
- CI/CD Implementation: Students will be equipped with the knowledge and skills to set up a basic CI/CD pipeline for Terraform using tools like Azure DevOps, enabling automated and consistent deployments.
- Security and Compliance Awareness: Students will gain insight into security considerations when using Terraform in Azure, including secrets management and access control, as well as strategies for maintaining compliance with Azure policies.
- Problem Solving and Troubleshooting: Students will develop problem-solving skills related to Terraform and Azure, allowing them to identify and resolve common issues that may arise in the course of managing infrastructure as code.
Prerequisites to follow the training Terraform - Infra-as-Code for Data Engineers
Participants in this training:
- Are experienced in using Git for collaboration
- Have worked with Azure DevOps or another CI/CD toolset for automated deployments
Course outline
- Introduction to Terraform
- Fundamental concepts of Infrastructure as Code (IaC)
- Terraform basics
- Terraform Basics
- The Terraform configuration language (HCL)
- Simple Terraform configurations for Azure resources
- Resource blocks, variables, and outputs in Terraform
- Azure Resource Deployment with Terraform
- Provision Azure resources
- Resource dependencies
- Managing the Terraform state
- Best Practices for Terraform in Azure
- Best practices for structuring and organizing Terraform code
- variable management, code modularity, and Terraform workspaces
- Continuous Integration and Continuous Deployment (CI/CD) with Terraform
- CI/CD pipelines for Terraform code
- Automate the deployment of infrastructure changes
- Security and Compliance with Terraform
- Security considerations when using Terraform in Azure
- Secrets management
- Access control.
- Strategies for ensuring compliance with Azure policies
Course material
In the training "Terraform Infra-as-Code for Data Engineers" we use material that we have developed ourselves at Wortell Smart Learning. We make sure that you receive all the necessary material on time.Beschikbare datums
| Titel | Datum |
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| Terraform for Data Engineers |
| Titel | Datum |
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| Terraform for Data Engineers |
