Security News > 2024 > January > Database management enters a new era of complexity

"Catering for different use cases, adding flexibility and achieving cost savings are the driving factors behind the escalating pace of change toward a multi-platform database landscape," said David Gummer, Redgate CPO. "However, the sheer volume of platform choices, with respondents citing usage of 16 different database types, highlights why it's critical that IT teams are upskilled and have the right tools in place. It's clear that organizations are currently scrambling to keep up with increased complexity, the pressures of compliance and emerging technologies like AI and the cloud, and are seeking solutions to narrow the skills gap," added Gummer.

Skill diversification is also cited as a top need by 31% when dealing with data management processes across multiple database types.

"However, to keep pace with business demands, we have to overhaul our thinking and invest in cross-team education as well as tools across the entire database development lifecycle, particularly if we hope to be ready for yet more new technologies which are already at our doors."

The use of AI in database development is also on the rise with 20% of respondents to the survey currently using AI for database management and a further 35% considering doing so.

For respondents putting AI to work in database management, 57% confirmed using AI to analyze and optimize database queries or code, 48% said they used it for automating testing scenarios, and 55% confirmed using AI to generate sample data or code.

"In effect, database professionals need to double their skillset to manage the range of database types that are now used by nearly 80% of all respondents in the survey. As an industry, we must work together and rise to the challenge of narrowing these skills gaps - whether that means upskilling internally or finding external solutions to address the needs across the Database DevOps landscape," he concluded.

News URL

https://www.helpnetsecurity.com/2024/01/31/database-development-demands/