đź“– Guides
Step-by-step tutorials and practical guides for masking, generating, and subsetting your data with the platform.
What You’ll Find Here
This section provides comprehensive guides for all platform capabilities:
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Masking Data - Techniques for anonymizing sensitive information while preserving data utility
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Generating Data - Create realistic synthetic data for testing and development
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Subsetting Data - Extract smaller, representative datasets while maintaining referential integrity
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Advanced Workflows - Combine techniques for complex data transformation scenarios
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Best Practices - Recommendations for production deployments and optimization
Subsections
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Masking Data - Anonymize sensitive information
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Generating Data - Create synthetic datasets
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Subsetting Data - Extract representative samples
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Advanced Workflows - Complex transformations
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Best Practices - Production recommendations
Popular Guides
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Scripting Transformer - Custom logic with JavaScript
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Conditional Masking - Apply transformers based on conditions
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Maintaining Referential Integrity - Preserve foreign key relationships
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Data Filtering - Fine-grained subsetting control
Related Sections
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Core Concepts - Understand the underlying architecture
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Transformers Reference - Complete transformer documentation
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Get Started - Basic tutorials for beginners