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Yandex DataSphere
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In this article:

  • Community management
  • Project management
  • DataSphere Notebook
  • Working with resources
  • Connecting to data sources
  • DataSphere Inference
  • DataSphere Jobs
  • Shared access to resources, projects, and computation results
  • Additional DataSphere features
  1. Step-by-step guides
  2. All guides

Step-by-step guides for DataSphere

Written by
Yandex Cloud
Updated at April 21, 2025
  • Community management
  • Project management
  • DataSphere Notebook
  • Working with resources
  • Connecting to data sources
  • DataSphere Inference
  • DataSphere Jobs
  • Shared access to resources, projects, and computation results
  • Additional DataSphere features

Community managementCommunity management

  • Creating a community
  • Adding a user to a community
  • Community label management
  • Managing community restrictions
  • Creating a service agent
  • Adding a link for a community
  • Linking a billing account
  • Viewing service usage details DataSphere
  • Deleting a community
  • Removing a user from a community

Project managementProject management

  • Creating an empty project
  • Adding a user to a project
  • Project label management
  • Selecting a Python version
  • Resizing project storage
  • Changing project settings
  • Setting project limits
  • Deleting a notebook or project
  • Removing a user from a project
  • Using shared resources
  • Troubleshooting

DataSphere NotebookDataSphere Notebook

  • Selecting computing resources
  • Checking GPU load
  • Getting a notebook ID
  • Installing dependencies
  • Notebook code snippets
  • Clearing notebook cell outputs
  • Working with Git
  • Setting up template-based JupyterLab notebook creation
  • Connecting to JupyterLab from a local IDE

Working with resourcesWorking with resources

  • Using secrets
  • Working with Yandex Data Processing templates
  • Working with Docker images
  • Working with datasets
  • Connecting to an S3 storage
  • Working with Spark connectors
  • Working with models
  • Using file storages

Connecting to data sourcesConnecting to data sources

  • Connecting to S3 using the library
  • Connecting to a ClickHouse® database
  • Connecting to a PostgreSQL database
  • Connecting to Yandex Disk
  • Connecting to Google Drive

DataSphere InferenceDataSphere Inference

  • Creating a node
  • Updating a node
  • Deleting a node
  • Configuring the environment for deploying a standalone service
  • Sending requests to nodes
  • Stopping or resuming a node
  • Creating an alias
  • Updating an alias
  • Deleting an alias
  • Sending a request to an alias

DataSphere JobsDataSphere Jobs

  • Authentication in DataSphere Jobs
  • Running jobs in DataSphere Jobs
  • Working with Visual Studio Code jobs
  • Using results of completed jobs
  • Working with a service agent from a job

Shared access to resources, projects, and computation resultsShared access to resources, projects, and computation results

  • Sharing a dataset
  • Sharing a file storage
  • Sharing an S3 connector
  • Sharing secrets
  • Sharing a Docker image
  • Sharing a Yandex Data Processing template
  • Publishing a notebook
  • Exporting a project
  • Opening a notebook in DataSphere

Additional DataSphere featuresAdditional DataSphere features

  • Migrating to a new DataSphere version

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