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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.
Read more
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.
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/y81i95/orchestrating
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What's inside
Syllabus
Project Overview
In this project, you will learn how Azure Data Factory can be used to orchestrate the movement and transformation of data both natively and from a wide range of data platform technologies. You will be able to explain the capabilities of the technology and set up an end-to-end data pipeline that ingests and transforms data with an Azure data platform technology.
Good to know
Good to know
Know what's good ,
what to watch for , 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
Save Orchestrating Data Movement with Azure Data Factory to your list so you can find it easily later:
Save
Save
Reviews summary
Azure azure data factory data movement basics
Learners say beginner-level online course about learning the basics of data movement using Azure Data Factory. The course includes guided projects, making it a practical and hands-on experience.
Course provides practical experience through guided projects.
"This is a beginner-level guided project to learn Azure Data Factory."
"Good hand on practice."
Course is recommended for beginners.
"Beginner level"
"This is a beginner-level guided project to learn Azure Data Factory."
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Review Basic Data Concepts
Show steps
Strengthen your foundational understanding of data concepts to enhance your learning experience.
Show steps
Show steps
Show steps
- Revisit concepts of data types and structures
- Review data extraction techniques
- Explore data integration principles
Compile Reference Materials
Show steps
Enhance your understanding by gathering and organizing relevant resources and materials.
Show steps
Show steps
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
Show steps
Reinforce your understanding of data ingestion by completing practice exercises.
Show steps
Show steps
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
Show steps
Deepen your knowledge of data transformation by following guided tutorials provided by Microsoft.
Show steps
Show steps
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
Show steps
Gain hands-on experience and interact with experts by attending an Azure Data Factory workshop.
Show steps
Show steps
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
Show steps
Reinforce your knowledge by mentoring others and sharing your expertise in Azure Data Factory.
Show steps
Show steps
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:
Information Security Analyst
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.
ETL Developer
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.
Compliance Manager
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.
Data Governance Analyst
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.
Privacy Engineer
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.
Master Data Management Specialist
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.
Data Integration Engineer
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.
Cloud Engineer
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.
Business Intelligence 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.
Data Architect
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.
Software 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.
Data Analyst
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.
Database Administrator
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.
Data Engineer
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.
Data Scientist
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.
For more career information including salaries, visit:
OpenCourser.com/course/y81i95/orchestrating
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.
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.
Save
Provides a beginner-friendly introduction to Azure Data Factory, its features, and how to use it for data integration and data management.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/y81i95/orchestrating
Share
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Goran Kliček
Language
English
Good to know
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
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