Concepts and examples#
The Concepts and examples section is a catalog of examples showcasing how to programmatically manipulate the different parts of Dataiku. You will find here basic code samples to help you getting started as well as more advanced and specific use-cases.
- Datasets
- Managed folders
- The main API client
- Pyspark recipes
- Projects
- Recipes
- Scenarios
- Flow creation and management
- LLM Mesh
- Visual Machine learning
- Experiment Tracking
- Statistics worksheets
- API Designer & Deployer
- Project Deployer
- Static insights
- Jobs
- Authentication information and impersonation
- Importing tables as datasets
- Wikis
- Discussions
- Performing SQL, Hive and Impala queries
- SQL Query
- Project libraries
- Meanings
- Users and groups
- Connections
- Scenarios (in a scenario)
- Code envs
- Plugins
- Project folders
- Dataiku Applications
- Feature Store
- Streaming Endpoints
- Snowpark
- Databricks Connect
- Metrics and checks
- Model Evaluation Stores
- Administration
- Utilities
- Clusters
- Code Studios
- Fleet Manager
- Dataiku Govern
- Workspaces
- Data Collections
- Data Quality
- Webapps