The 2005 Default Compatibility Level

Modifying MySQL data from within Python

In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to insert, update, and delete data in a MySQL database, again working with Python and the MySQL Connector.

Six Things to Monitor with PostgreSQL

To get the most out of your PostgreSQL database, find out the six performance metrics that ought to be central to your PostgreSQL monitoring strategy.

Build a Better WordPress Archives Page Using MySQL

I recently wrote about a way to generate visual, interactive calendars in HTML by combining a calendar table with data from an events table. But let’s start from the beginning, by starting from the end.

Questions about Comparing Databases with SQL Compare that you were Too Shy to Ask

Phil Factor offers straightforward answers to tricky SQL Compare questions.

Never Create Columns with ANSI_PADDING set to OFF

There is no good reason for having ANSI_PADDING set to OFF when you create tables in SQL Server. It was provided purely for legacy databases that had code that assumed the old CHAR behavior for dealing with padding, and its use has now been deprecated.

Capturing the business value of Compliant Database DevOps

You’ve probably heard of Compliant Database DevOps, but to take it from buzzword to boardroom relies on demonstrating value across your business. IT leaders must think more broadly than cost savings and ROI calculations when investing in scaling DevOps across database teams.
Our latest whitepaper explains how to lay the foundations for a successful DevOps implementation, and how to track success against global metrics that demonstrate your team’s impact across the business.

How to provision realistic and compliant data to dev – free whitepaper

Compare common approaches to provisioning test data to database development teams, and assess how they stack up in terms of delivering realistic test data, managing bottlenecks, and meeting data privacy regulations.

SQL Clone for Unit Testing Databases

Phil Factor demonstrates how to use SQL Clone to create 'disposable' SQL Server databases, for development and testing work. You can spin up a clone, use it to unit test your code, messing up the clone in the process, then reset the clone in seconds, ready for the next test.

Safely Deleting Clones and Images during Database Development and Testing

Whenever you’re ready to refresh a test cell with the latest database version, you need a safe way to drop the current set of clones, and the parent image, without losing any unsaved work. Phil Factor provides a PowerShell script that automates this process so it runs in the time it takes to grab a coffee, after which can quickly deploy the new clones.