Expert insights on synthetic data

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Transform sensitive text into AI-ready data on Microsoft Fabric

Tonic Textual for Microsoft Fabric enables fast, automated de-identification of sensitive unstructured text, helping teams create AI-ready datasets securely inside OneLake.

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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
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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
No items found.

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

NoSQL vs SQL: what you need to know

Technical deep dive
Technical deep dive
No items found.

Using Docker to manage your test database(s)

Technical deep dive
Technical deep dive
Tonic Structural

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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.