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Real News from the experts on Fake Data.

Technical
August 25, 2021

Dockerize Mongo to Get Consistent Data Across Your Development Environments

Figuring out how to dockerize and seed your development mongoDB database for consistent replication across environments might not seem so straightforward. Check out this tutorial highlighting learnings that have worked for Tonic!

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Latest
August 16, 2021

August ‘21 Launch: Faking Your Data with Variational Autoencoders

Tonic now offers Variational Autoencoders (VAEs), to better enable organizations who need to de-identify data for both developers and data science teams. With our Smart Linking generator, we’re redefining the degree of fidelity and utility that teams are able to achieve with their data.

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Latest
August 12, 2021

How to Create Realistic, Safe, Document-based Test Data for MongoDB

Safely generating NoSQL test data designed to mirror existing document collections entails significant challenges when data privacy and data utility are at stake. Here's what you need to know to successfully de-identify and synthesize your data in MongoDB.

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Latest
July 22, 2021

Generating High Quality Test Data for MySQL Through De-identification and Synthesis

As one of the most popular open-source databases, widely used for web applications, MySQL is no stranger to PII and sensitive data. At the same time, its users need production-like data for effective development and testing. Here are the challenges involved in anonymizing MySQL databases and solutions for tackling them.

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Latest
July 15, 2021

Why I Joined Tonic: A Business Grad's Perspective Amid the Pandemic

Business Development Representative Nasir Wise shares his experience entering the job market at the height of unemployment during the pandemic and finding an ideal environment to launch his career at Tonic.

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Technical
July 7, 2021

What Is Data Synthesis, and Why Are We Calling It Data Mimicking?

Explore the key concepts of data synthesis and how Tonic is pairing the strongest capabilities of synthesis with the strongest of anonymization to pioneer a new approach: data mimicking.

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Latest
June 28, 2021

June ‘21 Product Update: Support for All the Databases

At Tonic, we’ve been mimicking structured data since day 1. But let’s face it: not all data belongs in columns and rows. Which is why we’re very excited to announce our newest database integration: Tonic can now mimic your document-based data in MongoDB.

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Technical
June 23, 2021

Anonymization Techniques Defined: Transforming Real Data into Realistic Test Data

Data anonymization can mean many things, depending on the specific technique applied. These five approaches represent the most common pathways to anonymizing (aka obfuscating, aka de-identifying) real data. Each comes with its own pros and cons.

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Technical
June 18, 2021

How to Generate Safe, Useful Test Data for Amazon Redshift

Amazon Redshift enables massive data warehousing capabilities, but creating quality mock data designed to mimic data stored in Redshift comes with significant challenges. Here are the problems involved and tools you need to tackle each with expertise.

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Compliance
June 8, 2021

Data Protection Officer: What It Is and Why You Need It

Who is required to appoint a Data Protection Officer, in compliance with GDPR, and what is required of the role? Here's what you need to know, including compliance tips specific to software development.

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