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Axel Sirota

This course will teach you how to master production-grade Data Pipelines with ease within Apache Airflow.

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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.

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What's inside

Syllabus

Course Overview
Introducing Apache Airflow
Dissecting the Components of a Pipeline
Demystifying Common DAGs Pitfalls
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Abstracting Functionality
Scaling Airflow
Final Thoughts

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

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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
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
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
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
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
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
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
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.

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

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.
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.

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