All kinds of airflow operator examples.

A collection of useful operators for Apache Airflow

This repository contains the exercises and solutions for the Data Pipelines course

Airflow - The Forex Data Pipeline

Data Workflows with GCP Dataproc, Apache Airflow and Apache Spark

Udacity data engineering nanodegree projects using song logs dataset

Implemented Data Warehouse, Data Lake on AWS and Data modeling with Postgres and Apache Cassandra, Also used Apache Airflow to create data pipeline

HDInsight provider for Airflow

Data Pipeline Analytics Platform is an end-to-end generic Big Data pipeline. Involves following tech stack: AWS S3, AWS Redshift, AWS EMR Cluster, Apache Spark, Apache Airflow.

Airflow service to programmatically author, schedule and monitor workflows.

Udacity Data Engeneering Nanodegree Program - My Submission of Project: Data Pipelines

I find Apache Airflow very useful for ETL work. Here I transferred data from the source database(mysql) to the target database(postresql) and used the Airflow Bash Operator.

Udacity Data Engineering Nanodegree - Project #5

Basics to Advanced airflow concepts

A project of Airflow DAGs created using Airflow operators

Creating pipelines using Python3 and Apache Airflow to load tables into Google Big Query Dataware House

Common functionality for implementing data flows in Apache Airflow DAGs.

Airflow plugin with hooks and operators to work with GPG encryption and decryption.

How to use variables and runtime config in Apache Airflow