Building Blocks for your Apache Airflow Data Pipelines.
Python classes that can be imported from a provider package for use in Airflow.
Modules are the building blocks of DAGs and include hooks, operators, sensors, and more.
Executes SQL code in a Snowflake database
Retrieves Connections and Variables from Hashicorp Vault.
An operator to leverage Great Expectations as a task in your Airflow DAG.
FivetranOperator starts a Fivetran sync job.
Submits a Spark job run to Databricks using the api/2.0/jobs/runs/submit API endpoint.
Asks for the state of the EMR JobFlow (Cluster) until it reaches any of the target states. If it fails the sensor errors, failing the task.
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Explore our sample Github repo that explains how to write, publish, and build a provider package for your tool.
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