Data Orchestration involves using different tools and technologies together to extract, transform, and load (ETL) data from multiple sources into a central repository. By Aviator Ifeanyichukwu.
Apache Airflow is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows. Airflow’s extensible Python framework enables you to build workflows connecting with virtually any technology. A web interface helps manage the state of your workflows. Airflow is deployable in many ways, varying from a single process on your laptop to a distributed setup to support even the biggest workflows.
Data orchestration typically involves a combination of technologies such as data integration tools and data warehouses. What you will learn in this article:
- How to extract data from Twitter
- How to write a DAG script
- How to load data into a database
- How to use Airflow Operators
Apache Airflow is an easy-to-use orchestration tool making it easy to schedule and monitor data pipelines. With your knowledge of Python, you can write DAG scripts to schedule and monitor your data pipeline. Code for app written in Python is also included. Good read!
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