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  • Welcome to Syntho
  • Overview
    • Get started
      • Syntho bootcamp
        • 1. What is Syntho?
        • 2. Introduction data anonymization
        • 3. Connectors & workspace creation
        • 4. PII scan
        • 5. Generators
          • Mockers
          • Maskers
          • AI synthesize
          • Calculated columns
          • Free text de-identification
        • 6. Referential integrity & foreign keys
        • 7. Workspace synchronization & validation
        • 8. Workspace & user management
        • 9. Large workloads​
        • 10. AI synthesis: Data pre-processing when using
      • Prerequisites
      • Sample datasets
      • Introduction to data generators
      • AI-generated synthetic data
    • Frequently asked questions
  • Setup Workspaces
    • View workspaces
    • Create a workspace
      • Connect to a database
        • PostgreSQL
        • MySQL / MariaDB
        • Oracle
        • Microsoft SQL Server
        • DB2
        • Databricks
          • Importing Data into Databricks
        • Hive
        • SAP Sybase
        • Azure Data Lake Storage (ADLS)
        • Amazon Simple Storage Service (S3)
      • Workspace modes
    • Edit a workspace
    • Duplicate a workspace
    • Transfer workspace ownership
    • Share a workspace
    • Delete a workspace
    • Workspace default settings
  • Configure a Data Generation Job
    • Configure table settings
    • Configure column settings
      • AI synthesize
        • Sequence model
          • Prepare your sequence data
        • QA report
        • Additional privacy controls
        • Cross-table relationships limitations
      • Mock
        • Text
          • Supported languages
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • Other
      • Mask
        • Text
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • UUID
      • Duplicate
      • Exclude
      • Consistent mapping
      • Calculated columns
      • Key generators
        • Differences between key generators
      • JSON de-identification
    • Manage personally identifiable information (PII)
      • Privacy dashboard
      • Discover and de-identify PII columns
        • Identify PII columns manually
        • Automatic PII discovery with PII scanner
      • Remove columns from PII list
      • Automatic PII discovery and de-identification in free text columns
      • Supported PII & PHI entities
    • Manage foreign keys
      • Foreign key inheritance
      • Add virtual foreign keys
        • Add virtual foreign keys
        • Use foreign key scanner
        • Import foreign keys via JSON
        • Export foreign keys via JSON
      • Delete foreign keys
    • Validate and synchronize workspace
    • View and adjust generation settings
  • Deploy Syntho
    • Introduction
      • Syntho architecture
      • Requirements
        • Requirements for Docker deployments
        • Requirements for Kubernetes deployments
      • Access Docker images
        • Online
        • Offline
    • Deploy Syntho using Docker
      • Preparations
      • Deploy using Docker Compose
      • Run the application
      • Manually saving logs
      • Updating the application
      • Backup
    • Deploy Syntho using Kubernetes
      • Preparations
      • Deploy Ray using Helm
        • Upgrading Ray CRDs
        • Troubleshooting
      • Deploy Syntho using Helm
      • Validate the deployment
      • Troubleshooting
      • Saving logs
      • Upgrading the applications
      • Backup
    • Manage users and access
      • Single Sign-On (SSO) in Azure
      • Manage admin users
      • Manage non-admin users
    • Logs and monitoring
      • Does Syntho collect any data?
      • Temporary data storage by application
  • Syntho API
    • Syntho REST API
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On this page
  • What you'll learn
  • Who it's for
  • How to use this bootcamp
  • Contents

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  1. Overview
  2. Get started

Syntho bootcamp

Welcome to the Syntho bootcamp! You can find more information about Syntho's bootcamp here.

The Syntho Bootcamp is an interactive learning track designed to help you quickly become confident in using the Syntho platform. Whether you're a data engineer, analyst, or privacy specialist, this bootcamp provides hands-on, structured guidance to help you master privacy-preserving data generation with Syntho.

What you'll learn


This bootcamp is organized into clear, focused sections that cover the full data generation workflow, from connecting to your data sources to generating synthetic data and managing privacy compliance.

By the end, you’ll understand:

  • How Syntho anonymizes and synthesizes data using generators

  • How to configure workspaces and connectors

  • How to manage PII scanning, masking, and advanced data generation strategies

  • How to maintain referential integrity and validate generated datasets

Who it's for


  • New users looking for a guided onboarding experience

  • Technical teams setting up test data pipelines

  • Privacy teams exploring anonymization techniques

  • Product teams testing applications without using production data

How to use this bootcamp


  • Each module is self-contained and can be completed independently.

  • Follow along using your own data or test environments.

  • Use the embedded demos to apply what you've learned.

  • Explore linked documentation when you want to go deeper.

If you're ready to get started, proceed to the next section: What is Syntho? Alternatively, check the contents below and jump to the section that you wish to explore.

Contents


PreviousGet startedNext1. What is Syntho?

Last updated 21 days ago

Was this helpful?

What is Syntho?
Introduction data anonymization
Connectors & workspace creation
PII scan
Generators
Referential integrity and foreign keys
Workspace synchronization and validation
Workspace & user management
Large workloads
Date pre-processing
Continuous success
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