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Vishnu (Lucky) Pamula,
Amanda Moran,
and
Matt Swaffer, PhD
Learn from Udacity's professional training course to build, orchestrate, and monitor reliable and secure Data Pipelines with Microsoft Azure. Enroll Today.
Register for this course and see more details by visiting:
OpenCourser.com/course/rmai55/data
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What's inside
Syllabus
Welcome to Data Pipelines with Azure! In this lesson, you'll learn more about the course, including the prerequisites and tools you'll be using.
Read more
Syllabus
Welcome to Data Pipelines with Azure! In this lesson, you'll learn more about the course, including the prerequisites and tools you'll be using.
Read more
In this lesson, you'll learn about the components of data pipelines in Azure Data Factory and Synapse Analytics.
In this lesson, you'll learn about transforming data as it moves through activities in a pipeline.
In this lesson, you’ll learn about optimizing Azure Data Factory and Synapse Analytics Pipelines for data quality and integrity.
In this lesson, you'll learn about features of Azure Data Factory and Synapse Analytics pipelines that you’ll use in production.
In this project, you'll build data pipelines for an analytics platform for the City of New York.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines data pipelines in Azure, which is highly relevant to many industries
Taught by Vishnu (Lucky) Pamula, Amanda Moran, and Matt Swaffer, PhD, who are recognized for their work in data pipelines
Develops skills and knowledge in building, orchestrating, and monitoring data pipelines with Microsoft Azure
Provides hands-on labs and interactive materials for practical experience
Requires extensive background knowledge in data pipelines or related fields
Focuses on Microsoft Azure, which may limit applicability to other cloud platforms
Save this course
Save Data Pipelines with Azure 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 Data Pipelines with Azure with these
activities:
Join a Study Group or Online Forum
Show steps
Joining a study group or online forum will give you the opportunity to connect with other students and learn from their experiences.
Browse courses on
Data Pipelines
Show steps
-
Search for online forums or study groups related to data pipelines.
-
Join a forum or group and participate in discussions.
Attend a Data Pipeline Meetup or Conference
Show steps
Attending a data pipeline meetup or conference will give you the opportunity to network with other professionals in the field and learn about the latest trends.
Browse courses on
Data Pipelines
Show steps
-
Search for data pipeline meetups or conferences in your area.
-
Attend the event and network with other attendees.
Review Azure Fundamentals
Show steps
Better solidify foundational knowledge about foundational Azure concepts
Browse courses on
Azure Fundamentals
Show steps
-
Review Azure documentation and online resources
-
Watch Azure Fundamentals video tutorials
-
Complete practice questions to test your understanding
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review Data Pipelines Architecture
Show steps
Reviewing data pipelines architecture will help you understand the components of data pipelines and how they work together.
Browse courses on
Data Pipelines
Show steps
-
Read about data pipelines architecture from online resources.
-
Review the documentation for Azure Data Factory and Synapse Analytics.
Volunteer on a Data Pipeline Project
Show steps
Volunteering on a data pipeline project will give you the opportunity to work on a real-world project and gain valuable experience.
Browse courses on
Data Pipelines
Show steps
-
Search for volunteer opportunities related to data pipelines.
-
Contact organizations and ask about volunteer opportunities.
Contribute to an Open-Source Data Pipeline Project
Show steps
Contributing to an open-source data pipeline project will give you the opportunity to work on a real-world project and gain valuable experience.
Browse courses on
Data Pipelines
Show steps
-
Search for open-source data pipeline projects on GitHub or other platforms.
-
Find a project that you are interested in and contribute to it.
-
Follow the project's contribution guidelines and submit a pull request.
Practice Creating and Managing Data Pipelines
Show steps
Practicing creating and managing data pipelines will help you gain hands-on experience with the tools and techniques used in the course.
Browse courses on
Data Pipelines
Show steps
-
Create a data pipeline in Azure Data Factory or Synapse Analytics.
-
Add activities to your pipeline to transform and load data.
-
Run your pipeline and monitor its progress.
Write a Blog Post or Article about Data Pipelines
Show steps
Writing a blog post or article about data pipelines will help you solidify your understanding of the topic and share your knowledge with others.
Browse courses on
Data Pipelines
Show steps
-
Choose a topic related to data pipelines that you want to write about.
-
Research the topic and gather information from credible sources.
-
Write your blog post or article and share it with others.
Data Pipeline Simulation Exercises
Show steps
Gain hands-on experience in building and managing data pipelines
Show steps
-
Download and set up the Azure Data Factory simulator
-
Create data sources and sinks for your simulation
-
Build and execute data pipelines to perform transformations and data movement
-
Monitor and troubleshoot your pipelines using the simulation environment
Follow Tutorials on Advanced Data Pipeline Concepts
Show steps
Following tutorials on advanced data pipeline concepts will help you learn about more complex topics, such as data quality and performance optimization.
Browse courses on
Data Pipelines
Show steps
-
Find tutorials on advanced data pipeline concepts from Microsoft or other sources.
-
Follow the tutorials and complete the exercises.
Build a Data Pipeline for a Real-World Scenario
Show steps
Building a data pipeline for a real-world scenario will give you the opportunity to apply your skills and knowledge to a practical problem.
Browse courses on
Data Pipelines
Show steps
-
Identify a real-world scenario where you can apply data pipelines.
-
Design and develop a data pipeline for the scenario.
-
Deploy and monitor your data pipeline.
Join a Study Group or Online Forum
Show steps
Joining a study group or online forum will give you the opportunity to connect with other students and learn from their experiences.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Search for online forums or study groups related to data pipelines.
- Join a forum or group and participate in discussions.
Attend a Data Pipeline Meetup or Conference
Show steps
Attending a data pipeline meetup or conference will give you the opportunity to network with other professionals in the field and learn about the latest trends.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Search for data pipeline meetups or conferences in your area.
- Attend the event and network with other attendees.
Review Azure Fundamentals
Show steps
Better solidify foundational knowledge about foundational Azure concepts
Browse courses on
Azure Fundamentals
Show steps
Show steps
Show steps
- Review Azure documentation and online resources
- Watch Azure Fundamentals video tutorials
- Complete practice questions to test your understanding
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review Data Pipelines Architecture
Show steps
Reviewing data pipelines architecture will help you understand the components of data pipelines and how they work together.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Read about data pipelines architecture from online resources.
- Review the documentation for Azure Data Factory and Synapse Analytics.
Volunteer on a Data Pipeline Project
Show steps
Volunteering on a data pipeline project will give you the opportunity to work on a real-world project and gain valuable experience.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Search for volunteer opportunities related to data pipelines.
- Contact organizations and ask about volunteer opportunities.
Contribute to an Open-Source Data Pipeline Project
Show steps
Contributing to an open-source data pipeline project will give you the opportunity to work on a real-world project and gain valuable experience.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Search for open-source data pipeline projects on GitHub or other platforms.
- Find a project that you are interested in and contribute to it.
- Follow the project's contribution guidelines and submit a pull request.
Practice Creating and Managing Data Pipelines
Show steps
Practicing creating and managing data pipelines will help you gain hands-on experience with the tools and techniques used in the course.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Create a data pipeline in Azure Data Factory or Synapse Analytics.
- Add activities to your pipeline to transform and load data.
- Run your pipeline and monitor its progress.
Write a Blog Post or Article about Data Pipelines
Show steps
Writing a blog post or article about data pipelines will help you solidify your understanding of the topic and share your knowledge with others.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Choose a topic related to data pipelines that you want to write about.
- Research the topic and gather information from credible sources.
- Write your blog post or article and share it with others.
Data Pipeline Simulation Exercises
Show steps
Gain hands-on experience in building and managing data pipelines
Show steps
Show steps
Show steps
- Download and set up the Azure Data Factory simulator
- Create data sources and sinks for your simulation
- Build and execute data pipelines to perform transformations and data movement
- Monitor and troubleshoot your pipelines using the simulation environment
Follow Tutorials on Advanced Data Pipeline Concepts
Show steps
Following tutorials on advanced data pipeline concepts will help you learn about more complex topics, such as data quality and performance optimization.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Find tutorials on advanced data pipeline concepts from Microsoft or other sources.
- Follow the tutorials and complete the exercises.
Build a Data Pipeline for a Real-World Scenario
Show steps
Building a data pipeline for a real-world scenario will give you the opportunity to apply your skills and knowledge to a practical problem.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Identify a real-world scenario where you can apply data pipelines.
- Design and develop a data pipeline for the scenario.
- Deploy and monitor your data pipeline.
Career center
Learners who complete Data Pipelines with Azure will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs and builds data pipelines for businesses. They work with data scientists, data analysts, and business stakeholders to understand data requirements and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Data Engineers. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Data Engineers to design and build data pipelines that are efficient, reliable, and secure.
Data Analyst
Data Analyst
A Data Analyst uses data to solve business problems. They analyze data to identify trends, patterns, and insights. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Data Analysts. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Data Analysts to understand how data pipelines work and how to use them to get the most value from data.
Data Scientist
Data Scientist
A Data Scientist uses data to build models that can predict future outcomes. They work with data engineers and data analysts to develop and deploy models that can be used to make better decisions. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Data Scientists. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Data Scientists to understand how data pipelines work and how to use them to get the most value from data.
Cloud Architect
Cloud Architect
A Cloud Architect designs and builds cloud-based solutions. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Cloud Architects. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Cloud Architects to design and build cloud-based solutions that are efficient, reliable, and secure.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and tests software applications. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Software Engineers. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Software Engineers to design and develop software applications that are efficient, reliable, and secure.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Database Administrators. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Database Administrators to manage and maintain databases that are efficient, reliable, and secure.
Data Management Analyst
Data Management Analyst
A Data Management Analyst helps businesses to manage and use data effectively. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Data Management Analysts. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Data Management Analysts to help businesses to manage and use data effectively.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst helps businesses to make better decisions by providing them with insights from data. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Business Intelligence Analysts. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Business Intelligence Analysts to provide businesses with insights from data that can help them to make better decisions.
Data Warehouse Engineer
Data Warehouse Engineer
A Data Warehouse Engineer designs and builds data warehouses. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Data Warehouse Engineers. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Data Warehouse Engineers to design and build data warehouses that are efficient, reliable, and secure.
Data Integration Architect
Data Integration Architect
A Data Integration Architect designs and builds data integration solutions. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Data Integration Architects. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Data Integration Architects to design and build data integration solutions that are efficient, reliable, and secure.
Database Developer
Database Developer
A Database Developer designs and develops databases. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Database Developers. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Database Developers to design and develop databases that are efficient, reliable, and secure.
ETL Developer
ETL Developer
An ETL Developer designs and develops ETL processes. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for ETL Developers. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help ETL Developers to design and develop ETL processes that are efficient, reliable, and secure.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst helps businesses to manage and use data effectively. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Data Governance Analysts. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Data Governance Analysts to help businesses to manage and use data effectively.
Data Privacy Analyst
Data Privacy Analyst
A Data Privacy Analyst helps businesses to comply with data privacy regulations. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Data Privacy Analysts. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Data Privacy Analysts to help businesses to comply with data privacy regulations.
Data Security Analyst
Data Security Analyst
A Data Security Analyst helps businesses to protect their data from security threats. They work with businesses to understand their needs and develop solutions that meet those needs. This course provides a foundation in data pipelines with Azure, which is a valuable skill for Data Security Analysts. The course covers topics such as data ingestion, transformation, and storage, as well as data quality and security. This knowledge will help Data Security Analysts to help businesses to protect their data from security threats.
For more career information including salaries, visit:
OpenCourser.com/course/rmai55/data
Reading list
We've selected two 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
Data Pipelines with Azure.
Save
Provides a comprehensive overview of designing and implementing data-intensive applications. While it is not specific to data pipelines, it can be a valuable resource for those looking to understand the broader context of data pipeline development.
Provides a gentle introduction to Azure Data Factory, and is useful for beginners who are new to this tool.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rmai55/data
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Effort
4 weeks
Level
Advanced
Via
Udacity
Instructors
Vishnu (Lucky) Pamula
Amanda Moran
Matt Swaffer, PhD
Language
English
Good to know
Examines data pipelines in Azure, which is highly relevant to many industries
Taught by Vishnu (Lucky) Pamula, Amanda Moran, and Matt Swaffer, PhD, who are recognized for their work in data pipelines
Develops skills and knowledge in building, orchestrating, and monitoring data pipelines with Microsoft Azure
Provides hands-on labs and interactive materials for practical experience
Requires extensive background knowledge in data pipelines or related fields
Focuses on Microsoft Azure, which may limit applicability to other cloud platforms
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