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Data Orchestration and Workflow Management with Apache Airflow

  • Number of Courses9 courses
  • Duration3 hours

Apache Airflow is an open-source platform for orchestrating complex workflows and data pipelines. It enables scheduling, monitoring, and managing workflows through a user-friendly interface. Built on Python, Airflow supports dynamic pipeline generation, scalability, and extensibility, making it ideal for automating and optimizing data engineering processes. This learning path teaches data engineers how to build and manage data pipelines with Apache Airflow for better data orchestration and workflow management.

Courses in this path

Data Orchestration and Workflow Management with Apache Airflow

Watch the following course to get started!

Create Complex DAGs and Task Dependencies with Apache Airflow

  • by Janani Ravi
  • 22m 58s Duration

Optimize Workflows with Apache Airflow Operators

  • by Janani Ravi
  • 22m 54s Duration

Build DAGs Using the Taskflow API in Apache Airflow

  • by Janani Ravi
  • 24m 32s Duration

Integrate Databases with Apache Airflow

  • by Pinal Dave
  • 14m 37s Duration
  • 4.4  (19)

Work with APIs in Apache Airflow

  • by Dayo Bamikole
  • 16m 3s Duration

Integrate External Services with Apache Airflow

  • by Janani Ravi
  • 23m 41s Duration

Build a Data Pipeline with Apache Airflow

  • by Julian Mateu
  • 17m 11s Duration

Create Dynamic DAGs with Apache Airflow

  • by Matt Stenzel
  • 16m 17s Duration

Monitor and Maintain Apache Airflow

  • by Janani Ravi
  • 22m 13s Duration

Learn with the best

Janani Ravi
Janani Ravi
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing ... more
Pinal Dave
Pinal Dave
Pinal Dave is an SQL Server Performance Tuning Expert and independent consultant with over 24 years of hands-on experience. He holds a Master of Science degree and numerous database certifications. Pinal has authored 14 SQL Server database books, 91 Pluralsight courses and 11 Code Labs. To freely share his knowledge and help others build their expertise, Pinal has also written more than 5,800 database tech articles on his blog at https://blog.sqlauthority.com.
Dayo Bamikole
Dayo Bamikole
Dayo is a Technology Specialist with expertise in Cloud Data Solutions, Artificial intelligence, and Web Development. Dayo has traveled around the United States delivering workshops on technical services in the workplace, in over 35 states, as well as Europe. The audience for these workshops varies from Database Administrators to Software Developers. Ifedayo holds several certifications in Azure, such as: Azure Data Engineer, Azure Data Scientist, Azure AI Engineer, Google Cloud Fundamentals and... more
Julian Mateu
Julian Mateu
Graduating as an Electronic Engineer degree from the University of Buenos Aires, and currently based in London, Julian has spent 10 years in the Software Industry, from working with large tech companies like Amazon and Google, to dynamic startups. He began his career in mobile and robotics and eventually found his passion in backend development and cloud-based distributed systems. Julian is skilled in Go, Javascript/Typescript, Java and Python, and designs, implements, and deploys software for d... more
Matt Stenzel
Matt Stenzel
Matt Stenzel is a Data and AI Cloud Solution Architect at Microsoft. He has 15+ years of experience in the data and analytics industry working in various roles including a software developer, data engineer, DW developer, DBA and integration architect. He has spent the last 8 years working at Microsoft helping companies across the US successfully implement Azure solutions that provide business value.

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