--- alias: user-guide-data-orchestrator description: "This documentation details a system for managing and monitoring data orchestration workflows" --- # Data Orchestrator The Data Orchestrator provides access to a dashboard to view and configure the data orchestrations currently in use by the system. The Data Orchestrator is a set of tools that define functions that should be applied on a given dataset, applying transformation workflows and producing assets that can be read into a common storage space, while using an external orchestrator designed for developing and maintaining data assets such as tables, datasets, machine learning models and reports. This is currently achieved by using [Dagster](https://dagster.io/), an orchestrator tailored to streamline the entire data development lifecycle, supporting workflows from local experimentation and unit testing to integration testing, staging, and production deployment. ![Screenshot showing the Data Orchestrator interface, displaying options for viewing and configuring data orchestrations.](images/data_orchestrator.png) You can see the execution of each job and the progress it is currently showing: ![Screenshot showing a data orchestration job configuration interface within the Data Orchestrator dashboard.](images/data_orchestrator_job.png) You can also see, among others, the assets produced by the orchestrator: ![Screenshot showing the Data Orchestrator interface with various configuration options for data orchestrations.](images/data_orchestrator_asset.png) !!! info For more information on Dagster, see .