Steve, Grant and Ryan return to Simple Talks to discuss SQL Server and Postgres. The advocates share their experiences with both systems, highlighting what works and what doesn’t. From time series and Query Store to extended events, tooling and log shipping - this is a quick-fire deep dive into the pros, cons and differences between the two. There’s also conversation around making the transition from one system to the other, and Ryan reflects on his challenging introduction to Postgres…on the first day of a new job.

Kelly Gorman, Director of Data and AI at Silk, shares the biggest benefits as well as drawbacks of AI in the Industry. Test Data Management is the process of providing DevOps teams with test data to evaluate the performance and functionality of applications.

Host Louis Davidson is joined by regular Simple Talk contributor and community speaker Jason Romans for coffee and a chat. From his early days owning a Commodore 64, juggling retail work with his studies and becoming an ‘accidental DBA’, all the way up to his current position as a Business Intelligence engineer, Jason has quite a few stories to tell. Other topics discussed include a shared love of theme parks, the travel benefits of attending conferences, and the challenges of sharing a name with ‘JSON’…

The database landscape is constantly evolving, driven by major technologies like Artificial Intelligence that are now widely available. Which new technologies and trends are most important for you, and how will these impact your career trajectory? Join our latest survey to explore the current hot topics and enter our prize draw for the chance to win a $250 Amazon voucher.

We recently sat down with James Phillips, Senior IT Manager, to talk about test data management (TDM) and the growing attention it’s getting from the C-suite.

Ryan Booz, Steve Jones and Grant Fritchey discuss the evolution of Database DevOps, from its origins to its significance today. They discuss what they were doing at the time of its inception as a concept and how it impacted their day-to-day, while also looking at the various pieces that make up the Database DevOps puzzle – from automation to testing - and where it may go next.