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Productionalizing Data Pipelines with Apache Airflow 1
Axel Sirota
Axel Sirota
This course will teach you how to master production-grade Data Pipelines with ease within Apache Airflow.
Read more
This course will teach you how to master production-grade Data Pipelines with ease within Apache Airflow.
Read more
This course will teach you how to master production-grade Data Pipelines with ease within Apache Airflow.
Production-grade Data Pipelines are hard to get right. Even when they are done, every update is complex due to its central piece in every organization's infrastructure. In this course, Productionalizaing Data Pipelines with Apache Airflow 1, you’ll learn to master them using Apache Airflow. First, you’ll explore what Airflow is and how it creates Data Pipelines. Next, you’ll discover how to make your pipelines more resilient and predictable. Finally, you’ll learn how to distribute tasks with Celery and Kubernetes Executors. When you’re finished with this course, you’ll have the skills and knowledge of Apache Airflow needed to make any Data Pipelines production grade.
Register for this course and see more details by visiting:
OpenCourser.com/course/zeeh8u/productionalizing
What's inside
Syllabus
Course Overview
Introducing Apache Airflow
Dissecting the Components of a Pipeline
Demystifying Common DAGs Pitfalls
Read more
Syllabus
Course Overview
Introducing Apache Airflow
Dissecting the Components of a Pipeline
Demystifying Common DAGs Pitfalls
Read more
Abstracting Functionality
Scaling Airflow
Final Thoughts
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches skills, knowledge, and/or tools that are highly relevant to industry
Develops professional skills or deep expertise in a particular topic or set of topics
Builds a strong foundation for beginners
Offers a comprehensive study of one aspect of science, math, and technology
Uses a multi-modal approach that includes videos, readings, and discussions
Taught by Axel Sirota, who is recognized for their work in the field
Save this course
Save Productionalizing Data Pipelines with Apache Airflow 1 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 Productionalizing Data Pipelines with Apache Airflow 1 with these
activities:
Compile a Glossary of Airflow Terms
Show steps
Solidify your understanding by creating a comprehensive glossary of Airflow terms.
Browse courses on
Airflow
Show steps
-
List all the Airflow terms you encounter.
-
Find definitions for each term.
-
Organize the terms into a glossary.
Join a Study Group
Show steps
Enhance your learning by collaborating with peers in a study group.
Browse courses on
Data Pipelines
Show steps
-
Find a study group or start your own.
-
Meet regularly to discuss course material.
-
Collaborate on projects and assignments.
Follow Airflow Tutorials
Show steps
Enhance your understanding of Airflow by working through guided tutorials.
Show steps
-
Find tutorials on the Airflow website.
-
Complete the tutorials step-by-step.
-
Troubleshoot any issues you encounter.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Implementing DAGs
Show steps
Reinforce your understanding of DAGs by implementing them yourself.
Browse courses on
Data Pipelines
Show steps
-
Create a DAG with a single task.
-
Add dependencies between tasks.
-
Configure DAG settings.
Start a Personal Data Pipeline Project
Show steps
Apply your newfound skills by starting a personal data pipeline project.
Browse courses on
Data Pipelines
Show steps
-
Define the project scope and goals.
-
Design the pipeline architecture.
-
Implement the pipeline using Airflow.
-
Monitor and evaluate the pipeline.
Build a Production-Grade Data Pipeline
Show steps
Apply your knowledge by building a real-world data pipeline using Airflow.
Browse courses on
Airflow
Show steps
-
Define the pipeline requirements.
-
Design the pipeline architecture.
-
Implement the pipeline using Airflow.
-
Deploy and monitor the pipeline.
Mentor Junior Data Engineers
Show steps
Deepen your understanding by guiding and supporting junior data engineers.
Browse courses on
Data Pipelines
Show steps
-
Identify a junior data engineer who needs mentoring.
-
Share your knowledge and experience.
-
Provide feedback and support.
Compile a Glossary of Airflow Terms
Show steps
Solidify your understanding by creating a comprehensive glossary of Airflow terms.
Browse courses on
Airflow
Show steps
Show steps
Show steps
- List all the Airflow terms you encounter.
- Find definitions for each term.
- Organize the terms into a glossary.
Join a Study Group
Show steps
Enhance your learning by collaborating with peers in a study group.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Find a study group or start your own.
- Meet regularly to discuss course material.
- Collaborate on projects and assignments.
Follow Airflow Tutorials
Show steps
Enhance your understanding of Airflow by working through guided tutorials.
Show steps
Show steps
Show steps
- Find tutorials on the Airflow website.
- Complete the tutorials step-by-step.
- Troubleshoot any issues you encounter.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Implementing DAGs
Show steps
Reinforce your understanding of DAGs by implementing them yourself.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Create a DAG with a single task.
- Add dependencies between tasks.
- Configure DAG settings.
Start a Personal Data Pipeline Project
Show steps
Apply your newfound skills by starting a personal data pipeline project.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Define the project scope and goals.
- Design the pipeline architecture.
- Implement the pipeline using Airflow.
- Monitor and evaluate the pipeline.
Build a Production-Grade Data Pipeline
Show steps
Apply your knowledge by building a real-world data pipeline using Airflow.
Browse courses on
Airflow
Show steps
Show steps
Show steps
- Define the pipeline requirements.
- Design the pipeline architecture.
- Implement the pipeline using Airflow.
- Deploy and monitor the pipeline.
Mentor Junior Data Engineers
Show steps
Deepen your understanding by guiding and supporting junior data engineers.
Browse courses on
Data Pipelines
Show steps
Show steps
Show steps
- Identify a junior data engineer who needs mentoring.
- Share your knowledge and experience.
- Provide feedback and support.
Career center
Learners who complete Productionalizing Data Pipelines with Apache Airflow 1 will develop knowledge and skills
that may be useful to these careers:
Pipeline Engineer
Pipeline Engineer
A Pipeline Engineer is responsible for designing, building, and maintaining data pipelines. This course can help you become a Pipeline Engineer by teaching you the fundamentals of Apache Airflow. This course will teach you how to create, schedule, and monitor data pipelines, and it will also teach you how to optimize the performance of your pipelines.
Data Engineer
Data Engineer
A Data Engineer is responsible for building and maintaining big data pipelines which can be used for data analysis, machine learning, and other applications. This course can help you become a Data Engineer by teaching you how to use Apache Airflow, a popular data pipeline orchestration tool. Airflow makes it easy to create, schedule, and monitor data pipelines, and this course will teach you all the basics you need to know to get started.
Data Scientist
Data Scientist
A Data Scientist uses machine learning and statistics to extract knowledge and insights from data. This course can help you become a Data Scientist by teaching you how to use Apache Airflow to automate the data pipeline process. This will free up your time to focus on more complex tasks, such as developing and deploying machine learning models.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help businesses make better decisions. This course can help you become a Data Analyst by teaching you how to use Apache Airflow to automate the data pipeline process. This will free up your time to focus on more complex tasks, such as developing and deploying data visualization dashboards.
DevOps Engineer
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations. This course can help you become a DevOps Engineer by teaching you how to use Apache Airflow to automate the deployment and management of your software applications. This will help you to improve the efficiency and reliability of your software delivery process.
Cloud Engineer
Cloud Engineer
A Cloud Engineer is responsible for designing, building, and maintaining cloud infrastructure. This course can help you become a Cloud Engineer by teaching you how to use Apache Airflow to automate the deployment and management of your cloud resources. This will help you to improve the efficiency and reliability of your cloud infrastructure.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course can help you become a Software Engineer by teaching you how to use Apache Airflow to automate the deployment and management of your software applications. This will help you to improve the efficiency and reliability of your software delivery process.
System Administrator
System Administrator
A System Administrator is responsible for maintaining the day-to-day operations of an organization's computer systems. This course can help you become a System Administrator by teaching you how to use Apache Airflow to automate the management of your systems. This will help you to improve the efficiency and reliability of your systems.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing an organization's databases. This course can help you become a Database Administrator by teaching you how to use Apache Airflow to automate the management of your databases. This will help you to improve the efficiency and reliability of your databases.
Data Warehouse Engineer
Data Warehouse Engineer
A Data Warehouse Engineer is responsible for designing, building, and maintaining data warehouses. This course can help you become a Data Warehouse Engineer by teaching you how to use Apache Airflow to automate the management of your data warehouses. This will help you to improve the efficiency and reliability of your data warehouses.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and developing solutions to improve efficiency. This course may help you become a Business Analyst by teaching you how to use Apache Airflow to automate the data pipeline process. This will free up your time to focus on more complex tasks, such as developing and implementing business solutions.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course may help you become a Project Manager by teaching you how to use Apache Airflow to track the progress of your projects and identify any potential risks. This will help you to ensure that your projects are completed on time and within budget.
Product Manager
Product Manager
A Product Manager is responsible for developing and managing products. This course may help you become a Product Manager by teaching you how to use Apache Airflow to track the usage of your products and identify any potential areas for improvement. This will help you to ensure that your products meet the needs of your customers.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course may help you become a Marketing Manager by teaching you how to use Apache Airflow to track the performance of your marketing campaigns and identify any potential areas for improvement. This will help you to ensure that your marketing campaigns are effective and generate a high return on investment.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. This course may help you become a Sales Manager by teaching you how to use Apache Airflow to track the performance of your sales team and identify any potential areas for improvement. This will help you to ensure that your sales team is effective and generates a high level of revenue.
For more career information including salaries, visit:
OpenCourser.com/course/zeeh8u/productionalizing
Reading list
We've selected six 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
Productionalizing Data Pipelines with Apache Airflow 1.
Focuses on the architectural considerations and best practices for designing and building scalable and reliable data pipelines, which is essential for production-grade Airflow deployments.
Provides a solid foundation in Python programming for data analysis, which is essential for working with Airflow pipelines that involve data manipulation and transformation.
Provides a comprehensive overview of Kubernetes, the container orchestration platform that can be used with Airflow for scaling and managing distributed pipelines.
Provides a comprehensive guide to Elasticsearch, a popular search and analytics engine that can be integrated with Airflow pipelines for data indexing, search, and analysis.
Save
Explores the principles and techniques used in designing, building, and operating data-intensive applications, providing valuable insights for Apache Airflow pipelines.
This comprehensive guide to Hadoop provides valuable background knowledge for understanding the distributed data processing concepts that underlie Airflow pipelines.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zeeh8u/productionalizing
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Time
133 hours
Level
Intermediate
Via
Pluralsight
Instructor
Axel Sirota
Language
English
Good to know
Teaches skills, knowledge, and/or tools that are highly relevant to industry
Develops professional skills or deep expertise in a particular topic or set of topics
Builds a strong foundation for beginners
Offers a comprehensive study of one aspect of science, math, and technology
Uses a multi-modal approach that includes videos, readings, and discussions
Taught by Axel Sirota, who is recognized for their work in the field
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