Learning Apache Airflow
With Janani Ravi
Liked by 511 users
Duration: 2h 10m
Skill level: Advanced
Released: 7/12/2023
Course details
Get an introduction to Apache Airflow with Google cloud architect and data engineer Janani Ravi. With Apache Airflow—an open-source platform for developing, scheduling, and monitoring batch oriented workflows— you can schedule individual tasks that you want to run as a part of your processing pipeline, specify dependencies between these tasks, all programmatically in Python. Airflow manages these dependencies and ensures that tasks are executed in the right order. Join Janani as she shows you how to run workflows in Airflow, define tasks and dependencies, and use Python and SQLite operators. Learn about conditional branching, and how catch up and backfill work in Apache Airflow.
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Meet the instructor
Learner reviews
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Y V Ravi Kumar (OCM)
Y V Ravi Kumar (OCM)
🥇 EB1-A "Einstein Green Card" Recipient| 🎓 Oracle Certified Master| ✍️ 6x Co-Author| 📕 6x Tech Reviewer| 🎤 4x Oracle Cloud World Speaker| 🤝 2x…
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Mahamadou Camara
Mahamadou Camara
With a background in Data Science and Computer Science, I have developed proficiency in Python, Pandas, pgcli, Pgadmin, bash scripting. I am…
Contents
What’s included
- Practice while you learn 1 exercise file
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