Apache Airflow 101

Overview

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Explore the fundamentals of Apache Airflow, a community-created platform for programmatically authoring, scheduling, and monitoring workflows, in this comprehensive 2.5-hour tutorial. Learn about Directed Acyclic Graphs (DAGs), essential Airflow components, and installation using Docker. Gain hands-on experience creating your first workflow, utilizing Bash and Python Operators, working with MySQL Operators for database operations, and implementing Email Operators for task completion notifications. Master Apache Airflow's core concepts and practical applications for Data Engineering and Data Science through step-by-step guidance and real-world use cases.

Syllabus

What is Apache Airflow and Why do we need it for Data Engineering and Data Science | Viswateja.
What is DAG | Directed Acyclic Graph | Apache airflow tutorial for beginners | Viswateja.
Apache Airflow components | Apache airflow tutorial for beginners | Viswateja.
Apache Airflow installation using Docker | Apache airflow tutorial for beginners | Viswateja.
Use Case for our first DAG / Workflow in Apache Airflow.
Apache Airflow hands on part 1 | First DAG/Workflow |Checking if file exists using Bash Operator.
Apache Airflow handson part 2 | Testing Bash Operator | Checking if the file exists or not.
Apache Airflow hands on Part 3 | How to use Python Operator.
Apache Airflow hands on part 4 | MySQL Operator | Creating a table in Mysql using Apache Airflow.
Apache Airflow hands on part 5 | MySQL Operator | Testing MySQL operator for creating table.
Apache Airflow hands on part 6 | MySQL Operator | Inserting the records in to Mysql Databse.
Apache Airflow hands on part 7 | Email Operator | Sending email once all the task are completed.
Learn Apache Airflow with Python easily in 1 hour | Apache Airflow 101 | Apache Airflow Zero to Hero.
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