Managing Data Masking Rules in Larger Teams using Source Control

What if you have several people in the team who are responsible for data security across your databases, and they need to work together to develop and maintain the data masking configurations, which must then be applied consistently as part of an automated provisioning process? How should they do it? The solution turns out to be simple: source control. Read more

Resolving Cross Database Dependencies in SQL Change Automation using Local Databases or Clones

How to avoid database build failures, caused by circular cross-database object references, by restoring or provisioning copies of all required databases to the development, build, or test SQL Server instance. Read more

Why you Should Avoid Using the @@IDENTITY Function

Phil Factor demonstrates why SQL Prompt has a 'Best Practice' rule (BP010) that checks for use of the @@IDENTITY function, and suggests less error-prone ways to get the latest identity values used in a table. Read more

Database Build Blockers: Mutually Dependent Databases

Phil Factor demonstrates a clever way to create 'stub' objects, in SQL Change Automation pre-deployment scripts, in order to overcome the problems caused by 'missing objects' when building databases that have circular, or mutual, dependencies. In the subsequent deployment, SQL Change Automation fully builds every object in each of the databases, so all dependencies are fully tested. Read more

Integrating Redgate SQL Code Guard with SonarQube

Greta Rudžionienė provides a step-by-step guide to running SQL code analysis checks, as defined by SQL Code Guard, in SonarQube, a general-purpose code quality tool that can perform continuous code analysis on a variety of languages. Read more

Simple SQL Change Automation Scripting: The Release Object

Once you understand the SCA data objects, it can give you a certain glow of to discover, suddenly, that SCA can do some complicated and time-consuming tasks with just a few lines of code. Phil Factor demonstrates how to get the most of SCA's Release object. Read more

What’s new in v6.3 of Data Masker for SQL Server

The first time you approach the task of data masking, it can seem daunting. You've identified your sensitive columns, but how do you decide on the best data masking strategy? Which rules do you need in your data masking set? Data Masker for SQL Server makes it easy to decide. Read more

Simple SQL Change Automation Scripting: Connections, iProjects and Builds

Phil Factor delves into some of SQL Change Automation's data objects, or artifacts, covering the DatabaseConnection, iProject and iBuildArtifact objects. He explains the useful information they contain and how to use them in a PowerShell-automated database delivery process. Read more

Problems Caused by Use of the SQL_VARIANT Datatype

Phil Factor illustrates the 'quirks' of the SQL_VARIANT datatype and why it's best to investigate when SQL Prompt alerts you to its use. It is only safe to store data as a SQL_VARIANT, if you explicitly convert it to its true type before you use it. Read more

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

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