Practical steps for end-to-end data protection

If you plan to make production data available for development and test purposes, you'll need to understand which columns contain personal or sensitive data, create a data catalog to record those decisions, devise and implement a data masking, and then provision the sanitized database copies. Richard Macaskill show how to automate as much of this process as possible. Read more

How to Provision a Set of Databases to Multiple Azure-based Servers

Grant Fritchey shows how to provision a group of interdependent databases, masked to protect sensitive or personal data, to each machine in an Azure-based test cell. Read more

How to do Accurate Address Masking using Data Masker

Grant Fritchey shows how to adapt a data masking process, for address data, so that it incorporates knowledge of the data distribution in the real data. The result is fake address data, with an accurate distribution, for use in development and testing work. Read more

A Basic Technique for Masking Address Data using Data Masker

Grant Fritchey provides a simple way to create fake address information that still looks real. The compromise is that it uses random data distributions and doesn't maintain any correlation between postal codes, states and cities, so won’t accurately reflect the real address data. Read more

Spoofing Realistic Credit Card Data for your Test Systems using Data Masker

Grant Fritchey shows how to use Data Masker to create fake credit card data that not only looks like the real thing, but also has the right distribution, so will act like it too, when we query it. Read more

Building Better Test Data with SQL Provision

Steve Jones show how a team might use SQL Provision to build consistent, compliant, useful databases, on demand, for development and test environments. Read more

Automatic Provisioning of Developer Databases with SQL Provision

Steve Jones shows a simple way to provision full size databases for developers, using production like data that has been masked automatically as part of the provisioning process. Read more

Approaches to masking email addresses

Chris Unwin explains the basic approaches to anonymizing email addresses, and shows how Data Masker can generate realistic email addresses, based on faked names, and even retain the correct distribution of email providers. Read more

Masking Dates in a Non-Production Database

Gerry Leith explores what’s required for the effective masking of dates and times in your data. Read more

SQL Provision adds fully integrated data masking

Karis Brummit announces SQL Provision, which combines SQL Clone's fast, lightweight database copying and centralized management of provisioning, with Data Maskers's ability to obfuscate sensitive or personal data, prior to distribution. Read more

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Product articles Masking Data for Development and Testing