Connect Airflow to Secoda to associate DAGS with a dataset in Secoda. The airflow integration will pull information related to Airflow DAGs and put them into their own page on the Secoda UI.
Apache Airflow is an open-source platform used to programmatically author, schedule, and monitor workflows. It was developed by Airbnb in 2015 and later donated to the Apache Software Foundation.
Airflow allows developers to define their workflows as code, making it easy to maintain, test, and version control. It also provides a graphical user interface for monitoring and troubleshooting workflows.
Airflow supports a wide range of integrations with popular technologies like Hadoop, Spark, Kubernetes, and many others. It also comes with a rich set of pre-built operators and hooks that can be used to interact with external systems like databases, cloud storage, and APIs.
The Airflow DAG page will display the following information for documentation purposes: name, description, owner(s), tags, scheduled interval, last run, last run status, README, Table to DAG associated and the task list associated with DAG.
Secoda is more than a data catalogue. Secoda is the place to organize company data knowledge. We’ve built Secoda as a single place for all incoming data and metadata, queries, docs and metrics a single source of truth.
Secoda's and Airflow's connection allows users to easily access data with their Airflow pipelines. Secoda's GUI-based, dashboard hub transforms Airflow into a powerful data lineage tool that allows users to easily keep track of data sources and transformations. Airflow works with Secoda's data catalog to source, store and cut down data management efforts. As a result, users save time and resources since they can access their data from a single repository and coordinate their work to bring workflows together.Book a demo
The Airflow Data Lineage diagram provides an easy to read and visual representation of data processing. To get a better picture of data processing, users can use Airflow's graphical interface to create, manage, and monitor data pipelines. With the data lineage diagram, users can better analyze the relationships between data sets and the overall flow and lineage of data within the system. Additionally, users can view the data and identify data sources, sinks, and any potential issue with the flows of data.Book a demo
Creating a data dictionary for Airflow is simple when using Secoda. Secoda's easy to use, no code integrations allow users to quickly store and access data for Airflow. With the intelligent data catalog, users can quickly search and find data and related content quickly, saving time and effort. The data dictionary also makes it easy to keep Airflow data organized and secure, allowing users to confidently monitor, collaborate on, and access data safely.Book a demo
Sharing Airflow knowledge with everyone in the company allows us to have a common understanding of the different tools that are needed for managing the workflows more efficiently. This helps increase collaboration within the team and decreases overhead. Furthermore, it allows for insights that would be otherwise unavailable, enabling better decision-making and improving productivity.Book a demo
Airflow helps organizations create a single source of truth by leveraging metadata. This can be taken advantage of in various ways, such as log aggregation, automated task scheduling, and centralized data operations. At its core, Airflow enables code-as-configuration for all aspects of a delivery pipeline. Meaning, that with just a few lines of code, organizations can ensure their data remains consistent and reliable, avoiding data integrity issues due to manual errors or duplications.Book a demo