Domino 201 - Advanced Features v5.2

Domino 201 - Advanced Features v5.2

A deeper dive into Domino | v5.2

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About this course

This course will cover some of our more advanced features to make your data science work more efficient. It includes features for our newest release, version 5.2

What you'll learn:

  • How to set up and share custom environments
  • Securely adding credentials to your code
  • Using Domino programmatically with the command line interface or our APIs
  • Setting up ephemeral distributed computing clusters

Curriculum50 min

  • Welcome to Domino 201
  • Overview
  • Compute Environments - Getting the Tools You Need
  • Accessing Tools in Domino 1 min
  • Domino Base Images 1 min
  • Customizing Compute Environments 4 min
  • Custom Images in Domino Environments 2 min
  • Knowledge Check - Compute Environments 3 min
  • Environment Revisioning
  • Environment Revisioning
  • Environment Revisioning Options:
  • Workspace & Environment Revisioning
  • Environment Revisioning: Compute
  • Knowledge Check - Environment Revisioning
  • IntelliSize for Durable Workspaces
  • IntelliSize for Durable WorkSpaces
  • Durable Workspaces – Enhanced with Intellisize
  • Automatic Workspace Deletion
  • Settings
  • IntelliSize for Durable Workspaces
  • Storing Credentials in Domino
  • Types of Credentials in Domino 1 min
  • Environment Variables 3 min
  • Knowledge Check - Credentials 3 min
  • Working with Domino Programmatically
  • Overview of the API and CLI 1 min
  • The Command Line Interface (CLI) 2 min
  • The Domino API 3 min
  • Knowledge Check - Using Domino Programmatically 3 min
  • Domino On-Demand Compute Clusters
  • On-Demand Cluster Overview 1 min
  • Cluster Auto-Scaling 2 min
  • Spark On-Demand 5 min
  • Ray On-Demand 3 min
  • Dask On-Demand 2 min
  • On-Demand Compute Cluster Environments 4 min
  • Working with Data in On-Demand Compute Clusters 1 min
  • On-Demand Compute Clusters in Domino Jobs 1 min
  • Knowledge Check - On-Demand Compute Clusters 4 min
  • Snowflake as a Data Source for Model Monitoring
  • Monitor Snowflake Models
  • Advanced Authentication for Data Sources
  • Advanced Data Source Authentication
  • Configuration
  • Creating a Snowflake Data Source
  • Knowledge Check
  • Next Steps
  • Resources
  • Survey

About this course

This course will cover some of our more advanced features to make your data science work more efficient. It includes features for our newest release, version 5.2

What you'll learn:

  • How to set up and share custom environments
  • Securely adding credentials to your code
  • Using Domino programmatically with the command line interface or our APIs
  • Setting up ephemeral distributed computing clusters

Curriculum50 min

  • Welcome to Domino 201
  • Overview
  • Compute Environments - Getting the Tools You Need
  • Accessing Tools in Domino 1 min
  • Domino Base Images 1 min
  • Customizing Compute Environments 4 min
  • Custom Images in Domino Environments 2 min
  • Knowledge Check - Compute Environments 3 min
  • Environment Revisioning
  • Environment Revisioning
  • Environment Revisioning Options:
  • Workspace & Environment Revisioning
  • Environment Revisioning: Compute
  • Knowledge Check - Environment Revisioning
  • IntelliSize for Durable Workspaces
  • IntelliSize for Durable WorkSpaces
  • Durable Workspaces – Enhanced with Intellisize
  • Automatic Workspace Deletion
  • Settings
  • IntelliSize for Durable Workspaces
  • Storing Credentials in Domino
  • Types of Credentials in Domino 1 min
  • Environment Variables 3 min
  • Knowledge Check - Credentials 3 min
  • Working with Domino Programmatically
  • Overview of the API and CLI 1 min
  • The Command Line Interface (CLI) 2 min
  • The Domino API 3 min
  • Knowledge Check - Using Domino Programmatically 3 min
  • Domino On-Demand Compute Clusters
  • On-Demand Cluster Overview 1 min
  • Cluster Auto-Scaling 2 min
  • Spark On-Demand 5 min
  • Ray On-Demand 3 min
  • Dask On-Demand 2 min
  • On-Demand Compute Cluster Environments 4 min
  • Working with Data in On-Demand Compute Clusters 1 min
  • On-Demand Compute Clusters in Domino Jobs 1 min
  • Knowledge Check - On-Demand Compute Clusters 4 min
  • Snowflake as a Data Source for Model Monitoring
  • Monitor Snowflake Models
  • Advanced Authentication for Data Sources
  • Advanced Data Source Authentication
  • Configuration
  • Creating a Snowflake Data Source
  • Knowledge Check
  • Next Steps
  • Resources
  • Survey