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Google Cloud Platform Data Engineer Certification with an Extra Boost Course.

Empower Your Cloud Journey with GCP Excellence.

Dynamic Online Learning with Virejetech Certified Instructors.
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Interview Readiness Guide + Mock Sessions
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Holistic Learning Pathway

"Advance your career with our holistic App Development Program, meticulously designed to cultivate the skills of a modern app developer. This sought-after course covers key modules, including App Development Foundations and Techniques, providing extensive exposure to diverse domains. Empower yourself with cutting-edge tools for Visualization and Insights, ensuring a well-rounded skill set in the dynamic field of app development."

25 hrs

Learning content

Google Cloud Platform Data Engineer

1.Introduction to Cloud Computing

2 Quizzes

1 Project

1.1 Overview of cloud service models (IaaS, PaaS, SaaS)
Introduce Azure DevOps, a comprehensive set of development tools and services by Microsoft, encompassing features for source code management, continuous integration
1.2 Key cloud providers (AWS, Azure, Google Cloud, etc.)
Azure DevOps is a comprehensive set of services and components, including Azure Repos, Pipelines, Boards, Test Plans, Artifacts, and Extensions, designed to support end-to-end software development and delivery processes.
1.3 Cloud deployment models (public, private, hybrid)
Introduce Azure DevOps, a comprehensive set of development tools and services by Microsoft, encompassing features for source code management, continuous integration

2.Database Fundamentals

2.1 Database concepts (relational, NoSQL, NewSQL)
Understanding DevOps culture involves fostering a collaborative and communicative environment that encourages seamless collaboration between development and operations teams
2.2 Data modeling and design
Planning for DevOps transformation involves defining clear goals, assessing current processes, identifying bottlenecks, and creating a roadmap for adopting DevOps practices
2.3 Query languages (SQL, NoSQL query languages)
Assessing your DevOps maturity involves evaluating your organization's current state in terms of collaboration, automation, and continuous delivery practices.

3.Cloud Database Services

3.1 Overview of cloud database services offered by major providers
Introduction to source control involves understanding the importance of managing and versioning source code using systems like Git or centralized version control systems.
3.2 Choosing the right database service for your applications
Azure Repos is a version control service in Azure DevOps that provides Git repositories for source code management. It allows teams to collaborate on software development by hosting and versioning code

4.Relational Databases in the Cloud

4.1 Setting up and configuring relational databases (e.g., MySQL,PostgreSQL) in the cloud
Git workflows, such as Centralized, Feature Branch, Gitflow, GitHub Flow, and Forking, guide collaborative development and version control strategies, catering to different team sizes and project complexities.
4.2 Data migration strategies
Implementing and managing pull requests involves creating a mechanism for code review, collaboration, and integration of changes in a Git repository
4.3 High availability and failover options
Exercise: Scaling Git for Enterprise DevOps involves hands-on activities to address challenges associated with large-scale Git repositories, multiple teams, and complex development workflows

5.NoSQL Databases in the Cloud

5.1 Setting up and configuring NoSQL databases in the cloud
Azure Pipelines is a continuous integration and continuous delivery (CI/CD) service provided by Azure DevOps
5.2 Data modeling for NoSQL databases
Implementing and managing YAML pipelines in Azure DevOps involves defining build and release pipelines using YAML syntax.
5.3 Scaling strategies
Implementing and managing GitHub Actions involves defining workflows using YAML files directly within a GitHub repository. GitHub Actions automate various tasks, including building

6.NewSQL Databases

6.1 Understanding NewSQL databases and their advantages
Introduction to CI/CD (Continuous Integration/Continuous Delivery) involves adopting practices that automate and streamline the software development lifecycle
6.2 Use cases for NewSQL databases
Implementing CI/CD pipelines involves creating automated workflows that integrate and deliver code changes seamlessly from development to production.
6.3 Deployment and management in the cloud
Managing application configuration and secrets in CI/CD involves securely handling sensitive information, such as API keys or connection strings, during the deployment process

7.Data Security and Compliance

7.1 Security best practices in the cloud
Infrastructure as Code (IaC) principles involve treating infrastructure configurations as code, emphasizing declarative syntax, idempotency, version control, reusability, automatione
7.2 Encryption, access controls, and data masking
Implementing ARM (Azure Resource Manager) templates involves using JSON-based scripts to define and deploy Azure infrastructure resources. ARM templates provide a declarative way to specify the desired state of resources
7.3 Compliance requirements (e.g., GDPR, HIPAA) and their impacton cloud databases
Infrastructure provisioning with Terraform involves using HashiCorp's Terraform tool to define and manage infrastructure as code

8.Database Monitoring and Optimization

8.1 Performance monitoring and profiling
Configuration management automates and maintains consistent infrastructure and software configurations, ensuring reliability, version control, and idempotent application of desired states.
8.2 Query optimization techniques
Azure Key Vault is a cloud service that enables secure storage and management of sensitive information such as secrets, encryption keys, and certificates.
8.3 Scaling and resource allocation strategies
Exercise: Managing application configuration and secrets involves practical tasks to secure and handle sensitive information within an application using tools like Azure Key Vault

9.Backup and Disaster Recovery

9.1Implementing backup and recovery solutions in the cloud
This will display the installed Ansible version and configuration details. Note that additional configurations, such as inventory setup, may be required depending on your use case.
9.2 Disaster recovery planning and testing.
Depending on your use case, you might need to customize the configuration further. Refer to the official Ansible documentation for more details and advanced configurations.

10.Serverless and Managed Database Services

10.1 Serverless database options
Azure Pricing: Microsoft Azure employs a pay-as-you-go model, with costs based on actual usage of resources, offering flexibility and scalability
10.2 Benefits and limitations of managed database services
Azure Service Level Agreements (SLAs) define the guaranteed levels of service in terms of uptime and performance for various Azure services
10.3 Hands-on experience with managed services
Azure Service Level Agreements (SLAs) define the guaranteed levels of service in terms of uptime and performance for various Azure services. SLAs are commitments made by Microsoft to customers

11.DevOps and Automation

11.1 Infrastructure as code (IaC) and automation tools
Azure Active Directory (Azure AD) is Microsoft's cloud-based identity and access management service.
11.2 CI/CD pipelines for database changes
Azure Multi-Factor Authentication (MFA) enhances security by requiring users to verify their identity through multiple authentication methods, providing an additional layer of protection for Azure resources.
11.3 Version control for database schemas and configurations.
Azure Security Center is a unified security management system that provides advanced threat protection across Azure and hybrid cloud workloads, while Azure Key Vault is a secure,

12.Case Studies and Projects

12.1 Real-world case studies of organizations successfully using clouddatabases.
Azure Active Directory (Azure AD) is Microsoft's cloud-based identity and access management service.
12.2 Hands-on projects involving the setup,management, andoptimization of cloud databases
Azure Multi-Factor Authentication (MFA) enhances security by requiring users to verify their identity through multiple authentication methods, providing an additional layer of protection for Azure resources.

13.Cloud Database Trends and Emerging Technologies

13.1 Exploration of emerging trends such as multi-cloud databases, serverless databases, and blockchain-based databases.
Azure offers a diverse range of solutions and management tools for building, deploying, and managing applications and services in the cloud
14.1 A comprehensive project that involves designing, deploying, andoptimizing a database in a cloud environment.
Azure solutions, ranging from Virtual Machines to Azure Cognitive Services, address diverse use cases such as scalable application hosting,.
15.1Preparation for cloud database certification exams offered by cloudproviders like AWS, Azure, and Google Cloud..
Azure Marketplace is an online store that allows users to discover, purchase, and deploy third-party applications and services,