Orchestration unifiée des données, de l'analytique et de l'IA sur le lakehouse
“If we went back to 2018 and Databricks Workflows was available, we would never have considered building out a custom Airflow setup. We would just use Workflows.”
Whether you’re a data engineer, a data analyst or a data scientist, easily define workflows with just a few clicks or use your favorite IDE.
Get full visibility into each task running in every workflow and get notified immediately on issues that require troubleshooting.
Having a fully managed orchestration service means having the peace of mind that your production workflows are up and running. With 99.95% uptime, Databricks Workflows is trusted by thousands of organizations.
“Using Databricks Workflows allowed us to encourage collaboration and break up the walls between different stages of the process. It allowed us all to speak the same language.”
Databricks Workflows provides seamless integration with leading industry partners to provide you the flexibility to define workflows that meet your needs with your data solution of choice
Orchestration in the context of data, analytics and AI, refers to the automation, deployment and management of workflows such as ETL data pipelines and machine learning model training. Orchestration is an important part of data operations and is essential for bringing data solutions to production. Orchestration involves managing the dependencies between workflow tasks and scheduling these tasks to be executed. Orchestration also includes compute resource allocation and monitoring of workflows.