Get started with Python

Step 0: Orient yourself to DominoStep 1: Create a projectStep 2: Configure your projectStep 3: Start a workspaceStep 4: Get your files and dataStep 5: Develop your modelStep 6: Clean up WorkspacesStep 7: Deploy your model

Get started with R

Step 0: Orient yourself to Domino (R Tutorial)Step 1: Create a projectStep 2: Configure your projectStep 3: Start a workspaceStep 4: Get your files and dataStep 5: Develop your modelStep 6: Clean up WorkspacesStep 7: Deploy your model

Domino Reference

Projects

Projects OverviewProjects PortfolioUpload Files to Domino using your BrowserFork and Merge ProjectsSearchSharing and CollaborationCompare File RevisionsArchive a Project

Advanced Project Settings

Project DependenciesProject TagsRename a ProjectSet up your Project to Ignore FilesUpload files larger than 550MBExporting Files as a Python or R PackageTransfer Project Ownership

Domino Runs

JobsDiagnostic Statistics with dominostats.jsonNotificationsResultsRun Comparison

Advanced Options for Domino Runs

Run StatesDomino Environment VariablesEnvironment Variables for Secure Credential StorageAccessing the shell for a Domino Run with SSHUse Apache Airflow with Domino

Domino Workspaces

WorkspacesUse Visual Studio Code in Domino WorkspacesPersist RStudio PreferencesAccess Multiple Hosted Applications in one Workspace Session

Customize the Domino Software Environment

Environment ManagementDomino Standard EnvironmentsInstall Packages and DependenciesAdd Workspace IDEs

Advanced Options for Domino Software Environment

Install Custom Packages in Domino with Git IntegrationAdd Custom DNS Servers to Your Domino EnvironmentConfigure a Compute Environment to User Private Cran/Conda/PyPi MirrorsScala notebooksUse TensorBoard in Jupyter WorkspacesUse MATLAB as a WorkspaceCreate a SAS Data Science Workspace Environment

Publish your Work

Publish a Model API

Model Publishing OverviewModel Invocation SettingsModel Access and CollaborationModel Deployment ConfigurationPromote Projects to Production

Publish a Web Application

App Publishing OverviewGet Started with DashGet Started with ShinyGet Started with Flask

Advanced Web Application Settings in Domino

App Scaling and PerformanceHost HTML Pages from DominoHow to Get the Domino Username of an App Viewer

Launchers

Launchers OverviewAdvanced Launcher Editor

Assets Portfolio Overview

Connect to your Data

Domino Datasets

Datasets OverviewDatasets Best PracticesAbout domino.yamlDatasets Advanced Mode TutorialDatasets Scratch SpacesConvert Legacy Data Sets to Domino Datasets

Data Sources OverviewConnect to Data Sources

Git and Domino

Git Repositories in DominoWork From a Commit ID in Git

Work with Data Best Practices

Work with Big Data in DominoWork with Lots of FilesMove Data Over a Network

Hadoop and Spark

Connect to a Cloudera CDH5 cluster from DominoConnect to a Hortonworks cluster from DominoConnect to a MapR cluster from DominoConnect to an Amazon EMR cluster from DominoHadoop and Spark overviewKerberos authenticationRun local Spark on a Domino executorUse PySpark in Jupyter Workspaces

Advanced User Configuration Settings

Two-factor authenticationUser API KeysOrganizations Overview

Use the Domino Command Line Interface (CLI)

Install the Domino Command Line (CLI)Domino CLI ReferenceDownload Files with the CLIForce-Restore a Local ProjectMove a Project Between Domino DeploymentsUse the Domino CLI Behind a Proxy

Browser Support

Get Help with Domino

Additional ResourcesGet Domino VersionContact Domino Technical Support

Light

About Domino

Domino Data Lab Knowledge Base Data Science Blog Training

light

>

Domino Reference

>

Connect to your Data

>

Domino Datasets

Domino Datasets

Dataset Overview
About domino.yaml
Datasets Advanced Mode Tutorial
Datasets Best Practices
Datasets Scratch Spaces
Convert Legacy Datasets to Domino Datasets

Domino Data Lab Knowledge Base Data Science Blog Training

Copyright © 2022 Domino Data Lab. All rights reserved.