The rise of the digital era has led to increasing concerns among individuals around the protection of their personal data. In 2022, for example, 24% of individuals exercised their right to Data Subject Access Requests, and this rose to 28% in 2023 according to Statista research results.

Deploying database code using pipelines in various CI/CD tools is a common practice among our customers who use Flyway. To enhance security and avoid hardcoding sensitive information like connection strings, they frequently employ variables and secrets in the pipelines.

You may have heard of test data management (TDM). It’s part of the software delivery process – some would say a crucial part, involving the creation, management, and maintenance of environments for software development and testing. By provisioning fresh, production-like data, it allows developers to test their proposed changes early, thoroughly, and repeatedly with the right test data, when they need it and where they need it.

We recently sat down with James Phillips, CIO at Rev.io, to talk about test data management (TDM) and the growing attention it’s getting from the C-suite. It’s been prompted by the recognition that provisioning test and development environments with realistic production-like data improves the quality of code being developed, reduces errors, and deliver new features to customers faster.

After many cups of coffee and takeaway pizzas, something changed in the world of SQL Prompt in November 2023. For the first time in SQL Prompt’s history, our engineering team at Redgate brought AI to its breadth of capabilities and called it Prompt+. Using generative AI-powered insights and context-based awareness, Prompt+ takes natural language queries and turns them into SQL coding suggestions.

In a world of too many acronyms and initialisms, we’re here to talk about one more – TDM, aka DevOps test data management.

Databases are the backbone of enterprise-level organizations, facilitating efficient data management, supporting critical business processes, and providing a foundation for secure innovation and growth. Effective database monitoring is critical for maintaining a high level of performance, security, and reliability in database systems, particularly in enterprise-level environments where large volumes of data and critical business operations are involved.

In February 2001, 17 people met at the Snowbird ski resort in Utah. They were the leading exponents of Extreme Programming, Scrum, and Adaptive Software Development, and they were seeking a set of compatible values based on trust, respect and collaboration. They wanted to make software development easier. And they found it in the form of a manifesto. Their only concern was that the term describing the manifesto came from a ‘Brit’ and they weren’t sure how to pronounce it.

In an era marked by the convergence of Big Data, hybrid cloud use, and the rise of machine learning and artificial intelligence, organisations across the Asia-Pacific (APAC) region find themselves at a critical juncture. The ability to collect, manage, and leverage data effectively is now a determining factor for competitive advantage – and will become more competitive.

We recently launched the State of the Database Landscape 2024 survey results, with information from almost 4,000 database professionals from around the globe. A clear picture emerged from the results, suggesting that 2024 is the year that skill diversification among database professionals is imperative. There’s the need to manage multiple databases, to migrate to the cloud, to introduce continuous delivery with DevOps, and even incorporating Generative AI into the mix.