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

Which activity in Azure Data Factory is used to copy data from source to destination?

Which activity in Azure Data Factory is used to copy data from source to destination?

Which Azure Data Factory activity can be used to obfuscate sensitive information from data?

Which Azure Data Factory activity can be used to obfuscate sensitive information from data?

Which storage service is commonly used in Azure for storing unstructured data?

Which storage service is commonly used in Azure for storing unstructured data?

It provides a high level of automation for the migration process.

It can migrate data between any data stores, regardless of the source or destination technology.

It has built-in intelligence to optimize the migration process for maximum speed and efficiency.

It provides a single interface for managing all aspects of the migration process.

What is the main benefit of using Azure Data Factory to migrate data between different data stores?

What is the main benefit of using Azure Data Factory to migrate data between different data stores?

Which component of Azure Data Factory is used for designing and creating data integration workflows?

Which component of Azure Data Factory is used for designing and creating data integration workflows?

Which Azure CLI command is used to create a new Azure Data Factory?

Which Azure CLI command is used to create a new Azure Data Factory?

Which activity in Azure Data Factory is used to transform data using Power Query?

Which activity in Azure Data Factory is used to transform data using Power Query?

Which Azure storage service provides a fully managed, cloud-based file storage solution?

Which Azure storage service provides a fully managed, cloud-based file storage solution?

Filtering data based on specific criteria

Aggregating data to calculate summary statistics

Running machine learning algorithms to generate predictions

Which option is not a common data transformation operation performed in Azure Data Factory?

Which option is not a common data transformation operation performed in Azure Data Factory?

It provides a scalable and reliable cloud-based infrastructure for processing and integrating data.

It has built-in support for a wide variety of data stores and technologies.

It provides a graphical interface for designing and visualizing data pipelines.

It has built-in machine learning algorithms for automating data transformation and integration.

**(Select all that apply.)**
What is the benefit(s) of using Azure Data Factory to design and create data pipelines?

(Select all that apply.)
What is the benefit(s) of using Azure Data Factory to design and create data pipelines?

Test your understanding of creating and designing Azure data pipelines.

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: Creating Data Pipelines in Azure Data Factory