OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Orchestrating Data Movement with Azure Data Factory

Goran Kliček

Welcome to this guided project about “Orchestrating Data Movement with Azure Data Factory”. This project is for people who are interested in using Azure Data Factory. You don’t need to have any experience with Azure Data Factory, but you should be familiar with a basic concept of data extraction, transformation, and loading.

By the end of this project, you will learn the following:

● How to set up Azure Data Factory

● How to ingest data using the Copy Activity

● How to transform data with the Data Flow

Enroll now

Here's a deal for you

Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until March 12, 2027
Save 40% Off 3 Months
Access thousands of top-rated learning programs with a Coursera Plus monthly subscription and take 40% off 3 months for a limited time.
Take
40%
off
Get offer

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Orchestrates data movement, making it easier to create and manage data pipelines
Empowers learners with a strong foundation in data engineering and data management
Introduces Azure Data Factory, an industry-leading data integration service
Offers hands-on experience through guided projects, enhancing practical knowledge
Provides a comprehensive understanding of data extraction, transformation, and loading
Requires familiarity with basic data engineering concepts

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Practical azure data factory orchestration

According to students, this course offers a practical, hands-on approach to understanding Azure Data Factory. Learners particularly appreciate the focus on orchestrating data movement and transformation using key activities like Copy Activity and Data Flow. While many find the step-by-step guidance helpful for setting up an end-to-end data pipeline, some note that challenges with environment setup can present an initial hurdle. The project-based format is generally seen as a useful introduction for those familiar with basic ETL concepts, preparing them for real-world data engineering tasks.
Benefits learners with a foundational understanding of ETL.
"I found it helpful to have some prior knowledge of data extraction and loading concepts."
"While no ADF experience is needed, a basic grasp of ETL principles made the course smoother."
"The course moved quickly, assuming I knew the 'why' behind basic data processes."
Provides a good introduction but lacks advanced depth.
"It's a great quick start to ADF, covering the essentials very well."
"I learned the core concepts, but I'll need to seek additional resources for more advanced scenarios."
"This project is a perfect foundation for a beginner in ADF, but not for experts."
Teaches directly applicable skills for data professionals.
"This course taught me skills that are directly usable in my data engineering role."
"I feel much more confident in discussing and implementing ADF solutions at work."
"The content is highly relevant for anyone looking to work with cloud ETL processes."
Focuses on practical application of Azure Data Factory.
"I really valued the hands-on experience with creating a data pipeline from start to finish."
"The practical projects and demos helped me solidify my understanding of ADF."
"I appreciated learning by doing; it's much more effective for understanding complex tools like ADF."
Some learners encounter difficulties during Azure environment setup.
"I struggled a bit with getting the Azure environment correctly configured before starting."
"There were some initial hiccups with the setup steps not matching my Azure subscription."
"More detailed troubleshooting for common setup errors would be very helpful."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Orchestrating Data Movement with Azure Data Factory with these activities:
Review Basic Data Concepts
Strengthen your foundational understanding of data concepts to enhance your learning experience.
Show steps
  • Revisit concepts of data types and structures
  • Review data extraction techniques
  • Explore data integration principles
Compile Reference Materials
Enhance your understanding by gathering and organizing relevant resources and materials.
Show steps
  • Collect articles, tutorials, and documentation
  • Organize and categorize the materials
  • Create a central repository for easy access
  • Continuously update and expand the compilation
Practice Data Ingestion
Reinforce your understanding of data ingestion by completing practice exercises.
Show steps
  • Set up an Azure Data Factory pipeline
  • Create a Copy Activity to ingest data from an existing data source
  • Configure the source and destination data stores
  • Execute the pipeline and monitor its progress
Three other activities
Expand to see all activities and additional details
Show all six activities
Follow Microsoft Tutorials on Data Transformation
Deepen your knowledge of data transformation by following guided tutorials provided by Microsoft.
Show steps
  • Access the Microsoft Azure Data Factory documentation
  • Select the Data Transformation section
  • Choose a tutorial that aligns with your learning goals
  • Follow the step-by-step instructions
  • Experiment with the provided examples
Attend Azure Data Factory Workshop
Gain hands-on experience and interact with experts by attending an Azure Data Factory workshop.
Show steps
  • Research and identify relevant workshops
  • Register and attend the workshop
  • Actively participate in hands-on exercises
  • Network with industry professionals
Mentor Junior Data Engineers
Reinforce your knowledge by mentoring others and sharing your expertise in Azure Data Factory.
Show steps
  • Identify opportunities to mentor junior data engineers
  • Provide guidance on data ingestion, transformation, and integration
  • Share best practices and industry trends
  • Review and provide feedback on their work

Career center

Learners who complete Orchestrating Data Movement with Azure Data Factory will develop knowledge and skills that may be useful to these careers:
ETL Developer
ETL Developers design, develop, and maintain ETL (Extract, Transform, Load) systems to move data from one system to another. This course may be useful for those interested in becoming ETL Developers because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring ETL Developers can build a foundation for success in this in-demand field.
See salaries and explore the career path for ETL Developer
Data Integration Engineer
Data Integration Engineers design and implement solutions to integrate data from multiple sources. This course may be useful for those interested in becoming Data Integration Engineers because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Data Integration Engineers can build a foundation for success in this in-demand field.
See salaries and explore the career path for Data Integration Engineer
Master Data Management Specialist
Master Data Management Specialists manage and maintain master data to ensure that it is accurate, consistent, and complete. This course may be useful for those interested in becoming Master Data Management Specialists because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Master Data Management Specialists can build a foundation for success in this challenging and rewarding field.
See salaries and explore the career path for Master Data Management Specialist
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures to ensure that data is used in a compliant and ethical manner. This course may be useful for those interested in becoming Data Governance Analysts because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Data Governance Analysts can build a foundation for success in this emerging field.
See salaries and explore the career path for Data Governance Analyst
Privacy Engineer
Privacy Engineers design and implement solutions to protect personal data from unauthorized access and use. This course may be useful for those interested in becoming Privacy Engineers because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Privacy Engineers can build a foundation for success in this in-demand field.
See salaries and explore the career path for Privacy Engineer
Information Security Analyst
Information Security Analysts protect organizations from cyber threats by identifying and mitigating risks. This course may be useful for those interested in becoming Information Security Analysts because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Information Security Analysts can build a foundation for success in this growing field.
See salaries and explore the career path for Information Security Analyst
Compliance Manager
Compliance Managers ensure that organizations comply with applicable laws and regulations. This course may be useful for those interested in becoming Compliance Managers because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Compliance Managers can build a foundation for success in this challenging and rewarding field.
See salaries and explore the career path for Compliance Manager
Data Engineer
Data Engineers design, build, deploy, and maintain data management systems that enable organizations to collect, store, process, and analyze data. This course may be useful for those interested in becoming Data Engineers because it introduces the fundamentals of data movement and transformation using Azure Data Factory, a popular tool for data management and integration. By understanding how to use Azure Data Factory, aspiring Data Engineers can build a foundation for success in this in-demand field.
See salaries and explore the career path for Data Engineer
Data Architect
Data Architects design and manage data architectures to meet the needs of organizations. This course may be useful for those interested in becoming Data Architects because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Data Architects can build a foundation for success in this challenging and rewarding field.
See salaries and explore the career path for Data Architect
Data Analyst
Data Analysts gather, clean, and analyze data to help organizations make informed decisions. This course may be useful for those interested in becoming Data Analysts because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Data Analysts can build a foundation for success in this growing field.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help organizations improve their performance and make better decisions. This course may be useful for those interested in becoming Business Intelligence Analysts because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Business Intelligence Analysts can build a foundation for success in this in-demand field.
See salaries and explore the career path for Business Intelligence Analyst
Data Scientist
Data Scientists use data to solve complex problems and develop innovative solutions. This course may be useful for those interested in becoming Data Scientists because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Data Scientists can build a foundation for success in this challenging and rewarding field.
See salaries and explore the career path for Data Scientist
Database Administrator
Database Administrators maintain and manage databases to ensure that data is stored, processed, and retrieved efficiently. This course may be useful for those interested in becoming Database Administrators because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data. By completing this course, aspiring Database Administrators can build a foundation for success in this essential IT role.
See salaries and explore the career path for Database Administrator
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing systems. This course may be useful for those interested in becoming Cloud Engineers because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data in the cloud. By completing this course, aspiring Cloud Engineers can build a foundation for success in this growing field.
See salaries and explore the career path for Cloud Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for those interested in becoming Software Engineers because it provides an introduction to the principles of data movement and transformation, which are essential skills for working with data in software applications. By completing this course, aspiring Software Engineers can build a foundation for success in this in-demand field.
See salaries and explore the career path for Software Engineer

Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Orchestrating Data Movement with Azure Data Factory.
Mapping Data Flows in Azure Data Factory
Save
Provides a comprehensive overview of Azure Data Factory, including detailed instructions on how to set up and use the service. It valuable resource for anyone who wants to learn more about Azure Data Factory and how to use it to automate data movement and transformation.
Mapping Data Flows in Azure Data Factory
Paperback
Check
Mapping Data Flows in Azure Data Factory
Kindle Edition
Check
Cover image
Innovation Matters
Save
Provides a beginner-friendly introduction to Azure Data Factory, its features, and how to use it for data integration and data management.
Innovation Matters: Competition Policy for the High...
Paperback
$$
Innovation Matters: Competition Policy for the High...
Kindle Edition
$$
Cover image
Software Defined Data Center with Red Hat Cloud and...
Save
This complete guide will help you to learn everything you need to know about Azure Data Factory. It covers all the essential concepts and tasks.
Software Defined Data Center with Red Hat Cloud and...
Paperback
Check
Software Defined Data Center with Red Hat Cloud and...
Kindle Edition
Check

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Orchestrating Data Movement with Azure Data Factory.
Power Query Fundamentals
Most relevant
Prepare, Clean, Transform, and Load Data using Power BI
Most relevant
Scripting with Python and SQL for Data Engineering
Most relevant
ETL and Data Pipelines with Shell, Airflow and Kafka
Most relevant
Data Integration with Microsoft Azure Data Factory
Most relevant
Extract, Transform and Load Data in Power BI
Most relevant
Extract, Transform, and Load Data
Most relevant
Python Project for Data Engineering
Most relevant
Informatica Tutorial: Beginner to Expert Level
Most relevant

Coursera Buyer Protection & Guarantee

Verified partner policies & purchase protections

Accredited University Partner
Free Trial & Audit

7-Day Free Trial & Free Audit

7-day free trial on monthly Coursera Plus subscriptions; free audit option available on most individual courses to explore video lectures and readings at no charge.

Return & Refund Policy

14-Day Refund Guarantee

14-day refund window on annual Coursera Plus subscriptions and single-course purchases prior to certificate issuance. Monthly subscriptions do not offer refunds once billed.

Buyer Protections

Verified Academic & Industry Partner

Accredited university and industry certifications (e.g. Stanford, Google, IBM, Yale), secure SSL payment processing, and verifiable digital certificate links.

Key Purchase Protections
14-day refund window on annual Coursera Plus and single courses
7-day free trial on monthly Coursera Plus subscriptions
Free course audit option for lectures and readings
Verified certificates from top universities & companies
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Course image
Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Goran Kliček
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Orchestrates data movement, making it easier to create and manage data pipelines
Empowers learners with a strong foundation in data engineering and data management
Introduces Azure Data Factory, an industry-leading data integration service
Offers hands-on experience through guided projects, enhancing practical knowledge
Provides a comprehensive understanding of data extraction, transformation, and loading
Requires familiarity with basic data engineering concepts
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
Enroll now to gain full access to Orchestrating Data Movement with Azure Data Factory.
Enroll now
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser