Expert insights on synthetic data

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How to sanitize production data for use in testing

Explore data sanitization techniques and discover how proper sanitization improves test accuracy, protects privacy, and supports secure software development.

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Why I joined Tonic.ai: A business grad's perspective amid the pandemic

Tonic.ai editorial
Tonic.ai editorial
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What is data synthesis, and why are we calling it data mimicking?

Technical deep dive
Technical deep dive
Tonic Structural
Tonic Fabricate

June ‘21 product update: support for all the databases

Product updates
Product updates
Tonic Structural

Data anonymization techniques defined: transforming real data into realistic test data

Technical deep dive
Technical deep dive
Tonic Structural

How to generate safe, useful test data for Amazon Redshift

Technical deep dive
Technical deep dive
Tonic Structural

5 traditional approaches to generating test data

Technical deep dive
Technical deep dive
Tonic Structural
Tonic Fabricate

Why I joined Tonic.ai: A software engineer's perspective

Tonic.ai editorial
Tonic.ai editorial
Tonic Structural

Creating realistic, secure test data for Databricks

Technical deep dive
Technical deep dive
Tonic Structural

Reverse engineering your test data: It’s not as safe as you think it is

Test data management
Test data management
Data de-identification
Data privacy
Tonic Structural

Why I joined Tonic.ai: A product manager's perspective

Tonic.ai editorial
Tonic.ai editorial
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Spring 2021 product update

Product updates
Product updates
Tonic Structural

How to create realistic test data for PostgreSQL

Technical deep dive
Technical deep dive
Tonic Structural
Tonic Fabricate

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Accelerate development with high-quality, privacy-respecting synthetic test data from Tonic.ai.Boost development speed and maintain data privacy with Tonic.ai's synthetic data solutions, ensuring secure and efficient test environments.