This course aims to teach learners the fundamentals of Apache Airflow, a platform for authoring, scheduling, and monitoring workflows. By the end of the course, students will understand the concept of Directed Acyclic Graphs (DAGs), learn how to install Apache Airflow using Docker, and gain hands-on experience with various operators such as Bash, Python, MySQL, and Email. The teaching method includes tutorials, demonstrations, and practical exercises. This course is intended for beginners in the fields of Data Engineering and Data Science who want to automate and manage their workflows effectively using Apache Airflow.
Overview
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.
MARLIA ADS - SATHYA LG NAVRATRI | TVC | HD.
Taught by
TejaWithData
