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Azure Data Engineer Certification with an Extra Boost Course.

Empower Your Cloud Journey with Azure Excellence.

Dynamic Online Learning with Virejetech Certified Instructors.
Interactive Skill-building and Educational Assistance
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

Azure Data Engineer

Module 1:Introduction to Azure Data Platform

2 Quizzes

1 Project

1.1 Overview of Azure Cloud Services
Introduce Azure DevOps, a comprehensive set of development tools and services by Microsoft, encompassing features for source code management, continuous integration
1.2 Azure DevOps services and components
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.

Module 2:Azure Data Storage Services

2.1 Understanding DevOps culture
Understanding DevOps culture involves fostering a collaborative and communicative environment that encourages seamless collaboration between development and operations teams
2.1 Azure Blob Storage
Planning for DevOps transformation involves defining clear goals, assessing current processes, identifying bottlenecks, and creating a roadmap for adopting DevOps practices
2.1.1 Introduction to Blob Storage
Assessing your DevOps maturity involves evaluating your organization's current state in terms of collaboration, automation, and continuous delivery practices.
2.1.2 Creating and Managing Containers
To configure security for data at rest, implement encryption mechanisms such as Transparent Data Encryption (TDE) in Azure SQL Database, ensuring that sensitive data stored on disk is encrypted
2.1 Azure Blob Storage
Exercise: Assessing DevOps maturity involves conducting a comprehensive evaluation of your organization's current DevOps practices, covering aspects like collaboration
2.1.1 Introduction to Blob Storage
Assessing your DevOps maturity involves evaluating your organization's current state in terms of collaboration, automation, and continuous delivery practices.
2.1.2 Creating and Managing Containers
Assessing your DevOps maturity involves evaluating your organization's current state in terms of collaboration, automation, and continuous delivery practices.

Module 3:Data Ingestion

3.1 Azure Data Factory
Introduction to source control involves understanding the importance of managing and versioning source code using systems like Git or centralized version control systems.
3.1.1 Introduction to Azure Data Factory
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
3.1.2 Data Pipelines
Branching and merging strategies, such as Feature Branching, Gitflow, GitHub Flow, and Trunk-Based Development, guide the creation and management of branches in version control systems
3.1.3 Data Integration and Transformation
Exercise: Working with Azure Repos involves hands-on tasks within Azure DevOps to create, manage, and collaborate on source code using Azure Repos. Participants may perform activities such as creating repositories
3.2 Azure Event Hubs
Introduce Azure DevOps, a comprehensive set of development tools and services by Microsoft, encompassing features for source code management, continuous integration
3.2.1 Introduction to Event Hubs
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.

Module 4: Data Transformation and Processing

4.1 Azure Databricks
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.
4.1.1 Introduction to Databricks
Implementing and managing pull requests involves creating a mechanism for code review, collaboration, and integration of changes in a Git repository
4.1.2 Spark-Based Data Processing
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
4.1.3 ETL Workflows
To configure security for data at rest, implement encryption mechanisms such as Transparent Data Encryption (TDE) in Azure SQL Database, ensuring that sensitive data stored on disk is encrypted
4.2 Azure HDInsight
Exercise: Assessing DevOps maturity involves conducting a comprehensive evaluation of your organization's current DevOps practices, covering aspects like collaboration
4.2.1 Overview of HDInsight
Implementing and managing pull requests involves creating a mechanism for code review, collaboration, and integration of changes in a Git repository
4.2.2 Hadoop, Spark, and HBase Clusters
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

Module 5:Data Storage Optimization and Security

5.1 Data Compression and Encryption
Azure Pipelines is a continuous integration and continuous delivery (CI/CD) service provided by Azure DevOps
5.1.1 Techniques for Data Compression
Implementing and managing YAML pipelines in Azure DevOps involves defining build and release pipelines using YAML syntax.
5.1.2 Data Encryption Strategies
Implementing and managing GitHub Actions involves defining workflows using YAML files directly within a GitHub repository. GitHub Actions automate various tasks, including building
5.2 Data Governance and Compliance
Azure Pipelines is a continuous integration and continuous delivery (CI/CD) service provided by Azure DevOps
5.2.1 Implementing Data Governance
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
5.2.2 Compliance in Azure Data
To configure security for data at rest, implement encryption mechanisms such as Transparent Data Encryption (TDE) in Azure SQL Database, ensuring that sensitive data stored on disk is encrypted

Module 6:Monitoring and Performance Optimization

6.1 Azure Monitor and Azure Log Analytics
Introduction to CI/CD (Continuous Integration/Continuous Delivery) involves adopting practices that automate and streamline the software development lifecycle
6.1.1 Monitoring Azure Data Services
Implementing CI/CD pipelines involves creating automated workflows that integrate and deliver code changes seamlessly from development to production.
6.1.2 Log Analytics for Troubleshooting
Managing application configuration and secrets in CI/CD involves securely handling sensitive information, such as API keys or connection strings, during the deployment process
6.2 Performance Tuning
Exercise: Implementing CI/CD involves hands-on tasks to set up and configure a CI/CD pipeline for a specific application or project.
6.2.1 Identifying Performance Bottlenecks
Introduction to CI/CD (Continuous Integration/Continuous Delivery) involves adopting practices that automate and streamline the software development lifecycle

Module 7:Advanced Topics

7.1 Data Warehousing with Azure Synapse Analytics
Infrastructure as Code (IaC) principles involve treating infrastructure configurations as code, emphasizing declarative syntax, idempotency, version control, reusability, automatione
7.1.1 Introduction to Synapse Analytics
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
7.1.2 Data Warehousing Concepts
Infrastructure provisioning with Terraform involves using HashiCorp's Terraform tool to define and manage infrastructure as code
7.2 Machine Learning and AI Integration
Exercise: Implementing application infrastructure involves hands-on tasks to create and manage infrastructure as code using tools like ARM templates or Terraform

Module 8:Final Project and Certification

8.1 Real-World Data Engineering Project
Configuration management automates and maintains consistent infrastructure and software configurations, ensuring reliability, version control, and idempotent application of desired states.
8.2 Certification Exam Preparation
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 Exercise: Managing application configuratio and secrets
Exercise: Managing application configuration and secrets involves practical tasks to secure and handle sensitive information within an application using tools like Azure Key Vault