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  • About Anaconda Enterprise
  • Installing Anaconda Enterprise
    • Gravity Installation
      • Installation requirements
      • Cloud performance requirements
      • Pre-install checklist
      • Installing the cluster
      • Wizard installation (deprecated)
    • Bring Your Own Kubernetes (BYOK8s) Installation
      • Installation requirements
      • Pre-install checklist
      • Basic installation
      • Environment-specific recommendations
        • Azure Kubernetes Service
        • Amazon Elastic Kubernetes Service
        • Google Kubernetes Engine
        • OpenShift Container Platform
        • RedHat OpenShift Service on AWS (ROSA)
        • NFS Storage Recommendations
        • RBAC template
        • Helm values template
      • RBAC template
      • Helm values template
    • Post-install configuration
    • Updating TLS/SSL certificates
    • Installing conda for packaging mirroring
    • Anaconda Enterprise CLI
    • Apache Livy and Anaconda Enterprise
    • Upgrading Anaconda Enterprise
      • Upgrading Anaconda Enterprise 5 on Gravity
      • Bring Your Own Kubernetes (BYOK8s) Upgrade
      • Backing up and restoring Anaconda Enterprise
      • Migrating from Gravity to Bring Your Own Kubernetes (BYOK8s)
      • Uninstalling AE
      • Keycloak Upgrade
    • Migrating from AE 4 to AE 5
    • Environment-specific recommendations
      • Azure Kubernetes Service
      • Amazon Elastic Kubernetes Service
      • Google Kubernetes Engine
      • OpenShift Container Platform
      • RedHat OpenShift Service on AWS (ROSA)
      • NFS Storage Recommendations
      • RBAC template
      • Helm values template
  • Administering Anaconda Enterprise
    • Managing cluster resources
      • Adding and removing nodes (Gravity)
      • Setting resource limits for sessions and deployments
      • Monitoring cluster utilization
      • Monitoring sessions and deployments
      • Viewing system logs
      • Viewing activity logs
      • Fault tolerance in Anaconda Enterprise
    • Configuring user access
      • Connecting to external identity providers
      • Managing users
      • Roles and groups
      • Managing System Administrators
      • Configuring session timeouts
      • Establishing an LDAP connection
      • Google IAM setup example
    • Configuring channels and packages
      • Accessing remote package repositories
      • Mirroring channels and packages
      • Managing channels and packages
      • Pointing conda to an on-premises repository
      • Using a proxy for conda packages
    • Generating custom Anaconda installers
    • Advanced platform settings
      • Editing platform settings
      • Changing the database password
      • Changing the platform redirect URLs
      • Configuring Livy server for Hadoop Spark access
      • Adding RStudio to Anaconda Enterprise (AE) 5
      • Adding MLflow to Anaconda Enterprise 5
      • Connecting to an external version control repository
      • Migrating projects between version control repositories
      • Mounting an external file share
      • Disabling sudo for yum
      • Specifying alternate wildcard domains
      • Setting global config variables
      • Connecting to external Postgres and Redis
  • Using Anaconda Enterprise
    • Working with projects
      • Editing a project
      • Developing a project
      • Saving and committing changes in a project
      • Collaborating on projects
    • Using project templates
      • Python templates
      • R templates
      • Hadoop / Spark
    • Working with packages
      • Viewing package information
      • Building a conda package
      • Uploading a conda package
      • Sharing channels and packages
      • Configuring conda
    • Using installers, parcels and management packs
    • Working with data
      • Loading data into your project
      • Exploring project data
      • Data preparation
      • Using statistics
    • Working with deployments
      • Deploying a project
      • Deploying a REST API
      • Deploying a Flask application
      • Sharing deployments
      • Scheduling deployments
      • Terminating a deployment
    • Using GPUs in sessions and deployments
    • Configuring your user settings
    • Visualizations and dashboards
    • Machine learning and deep learning
      • Developing models
      • Training models
      • Deploying models as endpoints
      • Querying and scoring models
  • Troubleshooting
  • Reference materials
    • Release notes
    • Known issues
    • Frequently asked questions
    • Understanding Anaconda Enterprise system requirements
    • Gravity support policy
  • Using Anaconda Enterprise
  • Working with data

Working with data#

  • Loading data into your project
  • Exploring project data
  • Data preparation
  • Using statistics

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Using installers, parcels and management packs

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Loading data into your project

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