This course helps you master Azure Data Factory, build scalable pipelines, integrate data, orchestrate workflows, and excel in data engineering roles.

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Azure has become a leading cloud platform. Expertise in ADF opens doors to lucrative roles in data engineering and analytics.

This course provides you with the essential skills to master Azure Data Factory. You’ll start with ADF’s core concepts, architecture, and data connectivity to both on-premises and cloud sources. Through hands-on lessons and real-world examples, you’ll learn to create, manage, and monitor pipelines, handle incremental data loads, and work with version control using Git. Advanced topics include big data integration with Azure SQL, HDInsight, and Hive and designing analytics and machine learning workflows.

After completing this course, you’ll confidently design, develop, and maintain data pipelines in Azure Data Factory. You’ll be equipped to tackle integration challenges, optimize cost and performance, ensure scalability and high availability, and implement data governance and security—boosting your career prospects in data engineering and analytics.

Azure Data Factory Bootcamp: From Beginner to Expert

What is the purpose of Azure Data Factory?

What is the purpose of Azure Data Factory?

A virtual machine with high processing power

What is a prerequisite for creating storage instances in Azure?

What is a prerequisite for creating storage instances in Azure?

Creating an Azure Data Lake Storage instance

What is the first step in creating an Azure Data Factory instance using the Azure CLI?

What is the first step in creating an Azure Data Factory instance using the Azure CLI?

Linked services define the connection string and authentication details required to access external data sources or destinations.

Linked services enable the reuse of connections across multiple pipelines, reducing duplication and improving efficiency.

Linked services are only used for connecting to Azure services and not for external data sources.

Linked services provide a straightforward way to manage and integrate connections in Azure Data Factory.

Which statement about linked services in Azure Data Factory is *not* true?

Which statement about linked services in Azure Data Factory is not true?

What is the purpose of Azure Storage?

    az datafactory storage linked-service create

    az datafactory storage account create

Which CLI command is used to link Azure Storage to Azure Data Factory?

Which CLI command is used to link Azure Storage to Azure Data Factory?

**(Select all that apply.)**
Which storage service(s) can be used with Azure Data Factory to store input and output data files?

(Select all that apply.)
Which storage service(s) can be used with Azure Data Factory to store input and output data files?

What is the purpose of an Azure Resource Group?

What is the purpose of an Azure Resource Group?

Azure Storage provides scalable and durable storage for structured and unstructured data.

Azure Storage supports various storage options, including Blob Storage, File Storage, Queue Storage, and Table Storage.

Azure Storage can only be accessed through Azure Data Factory and not directly from other Azure services.

Azure Storage offers built-in redundancy and high availability to ensure data reliability.

Which statement about Azure Storage in Azure is *not* true?

Which statement about Azure Storage in Azure is not true?

Test your understanding of the fundamentals of Azure Data Factory, storage instances, and linked services.

Getting Started

Introduction to Azure Data Factory

Setting Up an Azure Data Factory Environment

Data Connectivity and Management

Azure Data Factory: Introduction and Connectivity Exam

Creating Data Pipelines in Azure Data Factory

Managing and Monitoring Azure Data Factory Pipelines

Azure Data Factory: Designing and Maintaining Data Pipelines Exam

Big Data Integration and Processing

Machine Learning and Advanced Analytics

Azure Data Factory: Big Data Processing and Machine Learning Exam

Data Governance and Security

Azure Data Factory: Best Practices

Conclusion

Appendix

Quiz: Setting Up an Azure Data Factory Environment