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Dataiku Developer Guide

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Academy
- Join the Academy
  
  Benefit from guided learning opportunities →
Community
Documentation
- Reference Documentation
  
  Comprehensive specifications of Dataiku →
Knowledge
- Knowledge Base
  
  Articles and tutorials on Dataiku features →
Developer
- Developer Guide
  
  Tutorials and articles for developers and coder users →

Getting started
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Concepts and examples
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- Datasets
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  - Datasets (reading and writing data)
  - Datasets (other operations)
- Managed folders
- The main API client
- Pyspark recipes
- Projects
- Recipes
- Scenarios
- Flow creation and management
- LLM Mesh
- Agents
- Visual Machine learning
- Experiment Tracking
- Statistics worksheets
- API Designer
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- API 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
- Bigframes
- Metrics and checks
- Model Evaluation Stores
- Administration
- Utilities
- Clusters
- Code Studios
- Fleet Manager
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- Dataiku Govern
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  - The main GovernClient class
  - Artifacts
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  - Administration
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    - Authentication information and impersonation
    - Users and groups
    - Other administration tasks
    - Govern Roles and Permissions
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      - Add a rule to assign a role to a new user
      - Bootstrap default groups matching provided roles
    - Utilities
  - Advanced Govern
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    - Scripts for Governance Policies
    - Govern Custom Pages
    - Govern Custom Pages Handler
    - Automate actions with Govern Hooks
    - Govern Actions
    - Govern Blueprint Designer
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  - Govern Helpers
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    - Dataiku and Govern items getter helpers functions
    - Dataiku and Govern items modifier helpers functions
  - Govern Deployments
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    - Governance checks with multi envs
- Workspaces
- Data Collections
- Data Quality
- Webapps
Tutorials
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- Administration
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  - Monitoring Disk Usage
  - Retrieve AWS Credentials from Dataiku API
- AI Governance
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  - Hooks and Scenarios
- Data Engineering
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- Developer tools
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  - Dataiku API
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  - IDE extensions
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    - VSCode extension for Dataiku
    - PyCharm plugin for Dataiku
  - Code Studio
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  - Git usage in Dataiku
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  - Miscellaneous
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    - Using external libraries for projects
    - Running unit tests on project libraries
- Generative AI
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  - Agents & tools
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    - Creating an Inline Python Tool
    - Creating a custom tool
    - Leveraging a custom tool in a Visual Agent
    - Creating and using a Code Agent
    - Integrating an agent framework
    - Creating a custom agent
    - Creating a custom LLM Connection
    - Multi agents: sequential workflow
    - LLM Mesh agentic applications
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    - Connecting to an external Vector Store
    - Model Context Protocol (MCP)
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      - Building your MCP Server in Dataiku
    - Building and using an agent with Dataiku’s LLM Mesh and Langchain
    - Using the LLM Mesh to parse and output JSON objects
    - Building Auto Prompt Strategies with DSPy in Dataiku
    - Adding traces to your Agent
  - Pre-training an LLM
  - Multimodal capabilities
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  - Natural language
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  - Webapps
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- Machine Learning
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  - Quickstart Tutorial
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  - Using LIME for Model Explainability
  - Predictive Model Maintenance for Binary Classification
  - Using Reinforcement Learning for Hyperparameter Tuning
  - Transfer Learning Techniques
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    - Transductive Transfer Learning
    - Unsupervised Transfer Learning
  - Experiment Tracking
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  - Pre-trained Models
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  - Model Import
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    - Importing serialized scikit-learn pipelines as Saved Models for MLOps
  - Model Export
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    - Wrapping an exported model in a CLI tool
    - Deploying a model to an edge device with AWS IoT Greengrass
  - Distributed ML Training using Ray
  - Scanning Models with Protect AI Guardian Using Python
- Plugins development
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  - Foreword
  - Creating and configuring a plugin
  - Setting up a dedicated instance for developing plugins
  - Versioning for plugin
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    - Git integration for plugins
    - Plugin version management with Git
  - Datasets
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    - Creating a plugin Dataset component
  - File Format
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    - Writing a plugin File Format component to allow ICal import in Dataiku
  - LLM Mesh
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  - Macros
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  - Processor plugin component
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    - Creating a plugin Processor component
  - Project Standards Check component
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    - Creating a Project Standards Check component
  - Prediction algorithm
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    - Creating a plugin Prediction Algorithm component
  - Recipes
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    - Creating a plugin Recipe component
    - Writing a custom recipe to remove outliers from a dataset
  - Sample dataset
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    - Creating a sample dataset
  - Webapps
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    - Turning an existing webapp into a webapp plugin component
- Webapps
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  - Common subjects on webapps
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  - Bokeh
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    - Bokeh: Your first webapp
  - Dash
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  - Gradio
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    - Gradio: your first web application
    - Creating a Gradio application using an LLM-based agent
  - Standard (HTML, CSS, JS)
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  - Streamlit
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    - Streamlit: your first webapp
    - Streamlit: your first webapp using code studio
  - Use your own framework.
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  - Voilà
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    - Voilà: your first web application
    - Creating a Voilà application using an LLM-based agent
- xOps
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  - Project deployment
API Reference
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- Python
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You are viewing the developer guide for version 14 of DSS.

Api Reference
Python
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