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Building Your First Data Pipeline in Azure Data Factory
Emilio Melo
Emilio Melo
Data Engineering is one of the hottest topics on IT right now, as the velocity, volume, and variety of data nowadays require skills beyond just traditional ETL. In this course, you'll learn the basic concepts needed to work with Azure Data Factory.
Read more
Data Engineering is one of the hottest topics on IT right now, as the velocity, volume, and variety of data nowadays require skills beyond just traditional ETL. In this course, you'll learn the basic concepts needed to work with Azure Data Factory.
Read more
Data Engineering is one of the hottest topics on IT right now, as the velocity, volume, and variety of data nowadays require skills beyond just traditional ETL. In this course, you'll learn the basic concepts needed to work with Azure Data Factory.
Nowadays data is everywhere, and companies are increasingly interested on transforming this data on insights that can help them become more efficient and productive. In this course, Building Your First Data Pipeline in Azure Data Factory, you will learn foundational knowledge on Azure Data Factory, Microsoft's main response to Data Engineering in the cloud. First, you will learn the concepts needed to create your own pipelines. Next, you will be introduced to data movement and transformation on ADF. Finally, you will see an example of using Data Factory to orchestrate activities to external compute resources. When you are finished with this course, you will have the skills and knowledge of Azure Data Factory needed to understand data movement, orchestration, and transformation activities.
Register for this course and see more details by visiting:
OpenCourser.com/course/wysy3j/building
What's inside
Syllabus
Course Overview
Understanding Azure Data Factory and Its Interface
Using Azure Data Factory for ETL Operations
Using Azure Data Factory for Orchestration
Read more
Syllabus
Course Overview
Understanding Azure Data Factory and Its Interface
Using Azure Data Factory for ETL Operations
Using Azure Data Factory for Orchestration
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Offers hands-on lab and interactive materials, increasing engagement and practical application
Targeted towards beginners, providing a strong foundation in Azure Data Factory
In-demand industry skills in data engineering, enhancing career prospects
Taught by experienced instructors with recognized expertise in data engineering
Provides foundational knowledge on Azure Data Factory, building a strong foundation
Uses older versions of software, potentially limiting practical application
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Save Building Your First Data Pipeline in Azure Data Factory to your list so you can find it easily later:
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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 Building Your First Data Pipeline in Azure Data Factory with these
activities:
Review the concepts of data engineering before starting the course
Show steps
Ensures students have a strong foundation before starting the course.
Browse courses on
Data Engineering
Show steps
-
Read articles or blog posts about data engineering
-
Watch videos or tutorials on data engineering
-
Review your notes from previous courses on data engineering
Follow a guided tutorial on Azure Data Factory
Show steps
Provides a structured and supportive environment for learning.
Browse courses on
Azure Data Factory
Show steps
-
Find a guided tutorial on Azure Data Factory
-
Follow the steps in the tutorial
-
Complete the tutorial
Join a study group with other students in the course
Show steps
Promotes peer learning and collaboration.
Browse courses on
Collaboration
Show steps
-
Find other students in the course who are interested in forming a study group
-
Decide on a meeting time and place
-
Meet regularly to discuss the course material and work on assignments together
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a data engineering meetup or conference
Show steps
Provides opportunities for students to connect with professionals and learn about the latest trends.
Browse courses on
Data Engineering
Show steps
-
Find a data engineering meetup or conference in your area
-
Register for the event
-
Attend the event and network with other attendees
Practice creating data pipelines using Azure Data Factory
Show steps
Reinforces understanding of data movement, orchestration, and transformation concepts.
Browse courses on
Azure Data Factory
Show steps
-
Follow the Azure Data Factory tutorials
-
Create a data pipeline to move data from one Azure storage account to another
-
Create a data pipeline to transform data using Azure Data Factory Dataflows
Contribute to an open-source data engineering project
Show steps
Provides hands-on experience with real-world data engineering projects.
Browse courses on
Open Source
Show steps
-
Find an open-source data engineering project to contribute to
-
Read the project's documentation and get involved in the community
-
Submit a pull request with your contribution
Build a data pipeline using Azure Data Factory and write a blog post about it
Show steps
Provides hands-on experience and encourages students to share their knowledge.
Browse courses on
Azure Data Factory
Show steps
-
Choose a data source and a destination for your data pipeline
-
Design and build the data pipeline using Azure Data Factory
-
Write a blog post that explains the steps involved in building the data pipeline
Create a data pipeline solution for a real-world business problem
Show steps
Provides practical application of skills and showcases student capabilities.
Browse courses on
Azure Data Factory
Show steps
-
Identify a real-world business problem that can be solved using a data pipeline
-
Design and build a data pipeline solution using Azure Data Factory
-
Present the solution to a group of stakeholders
Review the concepts of data engineering before starting the course
Show steps
Ensures students have a strong foundation before starting the course.
Browse courses on
Data Engineering
Show steps
Show steps
Show steps
- Read articles or blog posts about data engineering
- Watch videos or tutorials on data engineering
- Review your notes from previous courses on data engineering
Follow a guided tutorial on Azure Data Factory
Show steps
Provides a structured and supportive environment for learning.
Browse courses on
Azure Data Factory
Show steps
Show steps
Show steps
- Find a guided tutorial on Azure Data Factory
- Follow the steps in the tutorial
- Complete the tutorial
Join a study group with other students in the course
Show steps
Promotes peer learning and collaboration.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Find other students in the course who are interested in forming a study group
- Decide on a meeting time and place
- Meet regularly to discuss the course material and work on assignments together
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a data engineering meetup or conference
Show steps
Provides opportunities for students to connect with professionals and learn about the latest trends.
Browse courses on
Data Engineering
Show steps
Show steps
Show steps
- Find a data engineering meetup or conference in your area
- Register for the event
- Attend the event and network with other attendees
Practice creating data pipelines using Azure Data Factory
Show steps
Reinforces understanding of data movement, orchestration, and transformation concepts.
Browse courses on
Azure Data Factory
Show steps
Show steps
Show steps
- Follow the Azure Data Factory tutorials
- Create a data pipeline to move data from one Azure storage account to another
- Create a data pipeline to transform data using Azure Data Factory Dataflows
Contribute to an open-source data engineering project
Show steps
Provides hands-on experience with real-world data engineering projects.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Find an open-source data engineering project to contribute to
- Read the project's documentation and get involved in the community
- Submit a pull request with your contribution
Build a data pipeline using Azure Data Factory and write a blog post about it
Show steps
Provides hands-on experience and encourages students to share their knowledge.
Browse courses on
Azure Data Factory
Show steps
Show steps
Show steps
- Choose a data source and a destination for your data pipeline
- Design and build the data pipeline using Azure Data Factory
- Write a blog post that explains the steps involved in building the data pipeline
Create a data pipeline solution for a real-world business problem
Show steps
Provides practical application of skills and showcases student capabilities.
Browse courses on
Azure Data Factory
Show steps
Show steps
Show steps
- Identify a real-world business problem that can be solved using a data pipeline
- Design and build a data pipeline solution using Azure Data Factory
- Present the solution to a group of stakeholders
Career center
Learners who complete Building Your First Data Pipeline in Azure Data Factory will develop knowledge and skills
that may be useful to these careers:
Data Integration Specialist
Data Integration Specialist
Data Integration Specialists design, develop, and maintain data integration solutions that allow organizations to consolidate data from multiple sources into a single, unified view. In this role, you will likely use tools such as Azure Data Factory to build and manage data pipelines. Taking Building Your First Data Pipeline in Azure Data Factory will help you develop the skills needed to succeed as a Data Integration Specialist. The course's focus on the concepts, capabilities, and use cases of Azure Data Factory will provide you with a valuable foundation.
ETL Developer
ETL Developer
ETL Developers design, develop, and maintain ETL (Extract, Transform, Load) processes that move data from source systems to target systems. In this role, you will likely use tools such as Azure Data Factory to build and manage data pipelines. Taking Building Your First Data Pipeline in Azure Data Factory will help you develop the skills needed to succeed as an ETL Developer. The course's focus on the concepts, capabilities, and use cases of Azure Data Factory will provide you with a valuable foundation.
Data Engineer
Data Engineer
Data Engineers work with data architects to design and build data warehouses and pipelines that ensure data is collected, processed, stored, and analyzed effectively. As a Data Engineer, you may work with Azure Data Factory often to design and orchestrate data pipelines. Taking this course, Building Your First Data Pipeline in Azure Data Factory, will help you build the skills needed to start or advance your career as a Data Engineer. By learning the concepts needed to create pipelines, data movement, and transformation on ADF, you will be well on your way to developing the skills needed to succeed in this in-demand role.
Data Architect
Data Architect
Data Architects design and manage the architecture of data systems. In this role, you may be responsible for designing and implementing data pipelines using Azure Data Factory. Taking Building Your First Data Pipeline in Azure Data Factory will help you develop the skills needed to succeed as a Data Architect. The course's focus on the concepts, capabilities, and use cases of Azure Data Factory will provide you with a valuable foundation.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make informed decisions. In this role, you will use tools such as Azure Data Factory to manage data pipelines and ensure the data you use is accurate. By taking Building Your First Data Pipeline in Azure Data Factory, you will develop the skills needed to start or advance your career as a Data Analyst. The course's focus on data movement, transformation, and orchestration will provide you with a valuable foundation for success.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design, build, and maintain data warehouses that store and manage large volumes of data. In this role, you will likely use tools such as Azure Data Factory to build and manage data pipelines that feed data into the data warehouse. Taking Building Your First Data Pipeline in Azure Data Factory may be useful in helping you to develop the data engineering skills needed for success in this role. The course's focus on data movement, transformation, and orchestration will provide you with a valuable foundation.
Big Data Engineer
Big Data Engineer
Big Data Engineers design, build, and maintain big data systems that process and analyze large volumes of data. In this role, you will likely use tools such as Azure Data Factory to build and manage data pipelines that move data into and out of big data systems. Taking Building Your First Data Pipeline in Azure Data Factory may be useful in helping you to develop the data engineering skills needed for success in this role. The course's focus on data movement, transformation, and orchestration will provide you with a valuable foundation.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts help businesses understand their data by turning it into actionable insights. As a Business Intelligence Analyst, you may use Azure Data Factory to develop data pipelines and orchestrate data transformations. Taking Building Your First Data Pipeline in Azure Data Factory may be useful in helping you build the skills needed to succeed in this role. Gaining a foundational understanding of Azure Data Factory, including its interface, ETL capabilities, and orchestration abilities, will provide you with a valuable foundation.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and maintain cloud computing systems. In this role, you will likely use tools such as Azure Data Factory to build and manage data pipelines in the cloud. Taking Building Your First Data Pipeline in Azure Data Factory may be useful in helping you to develop the data engineering skills needed for success in this role. The course's focus on the concepts, capabilities, and use cases of Azure Data Factory will provide you with a valuable foundation.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists ensure that data is managed and used in a consistent and compliant manner. In this role, you may use tools such as Azure Data Factory to build and manage data pipelines that enforce data governance policies. Taking Building Your First Data Pipeline in Azure Data Factory may be useful in helping you to develop the data engineering skills needed for success in this role. The course's focus on the concepts, capabilities, and use cases of Azure Data Factory will provide you with a valuable foundation.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. In this role, you may use tools such as Azure Data Factory to build and manage data pipelines that provide data to machine learning models. Taking Building Your First Data Pipeline in Azure Data Factory may be useful in helping you to develop the data engineering skills needed for success in this role. The course's focus on data movement, transformation, and orchestration will provide you with a valuable foundation.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Understanding how to manage and orchestrate data pipelines using Azure Data Factory can help Data Scientists ensure the quality and accuracy of the data they use. Building Your First Data Pipeline in Azure Data Factory may be useful for those looking to develop the data engineering skills needed for success in this role.
Database Administrator
Database Administrator
Database Administrators are responsible for the installation, configuration, maintenance, and performance of database management systems. By taking Building Your First Data Pipeline in Azure Data Factory you will learn the concepts and skills needed to integrate and move data between different databases, which can be a valuable skill for a DBA to possess. The course's focus on ETL operations and orchestration will provide you with a foundation for success.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain software systems. In this role, you may be involved in the development and maintenance of data pipelines using Azure Data Factory. Taking Building Your First Data Pipeline in Azure Data Factory may be useful in helping you to develop the data engineering skills needed for success in this role. The course's emphasis on data movement, transformation, and orchestration will help you become a more well-rounded engineer.
IT Architect
IT Architect
IT Architects design, build, and maintain the infrastructure and systems that support an organization's technology needs. In this role, you may be responsible for designing and implementing data pipelines using Azure Data Factory. Taking Building Your First Data Pipeline in Azure Data Factory may be useful in helping you to develop the data engineering skills needed for success in this role. The course's focus on the concepts and capabilities of Azure Data Factory will provide you with a valuable foundation.
For more career information including salaries, visit:
OpenCourser.com/course/wysy3j/building
Reading list
We've selected five 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
Building Your First Data Pipeline in Azure Data Factory.
Provides a comprehensive overview of Azure Data Factory. It covers the core concepts of data engineering, including data integration, transformation, and orchestration. It also provides practical guidance on how to use Azure Data Factory to build data pipelines.
Comprehensive guide to building data pipelines with Azure Data Factory. It covers everything from the basics of data pipelines to more advanced topics such as data quality and security.
Provides a comprehensive guide to data integration with Azure Data Factory. It covers all aspects of data integration, from data extraction and transformation to data loading and orchestration.
Azure Data Factory for Beginners self-paced course that teaches you the basics of Azure Data Factory. It covers the core concepts and features of Azure Data Factory, and provides hands-on exercises to help you learn how to use the service.
Provides an overview of the fundamentals of data engineering, including data pipelines, data storage, and data processing. It great resource for anyone who wants to learn more about the basics of data engineering.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wysy3j/building
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Time
69 hours
Level
Introductory
Via
Pluralsight
Instructor
Emilio Melo
Language
English
Good to know
Offers hands-on lab and interactive materials, increasing engagement and practical application
Targeted towards beginners, providing a strong foundation in Azure Data Factory
In-demand industry skills in data engineering, enhancing career prospects
Taught by experienced instructors with recognized expertise in data engineering
Provides foundational knowledge on Azure Data Factory, building a strong foundation
Uses older versions of software, potentially limiting practical application
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