While AI has already reshaped various industries, its impact on infrastructure and database management is only beginning to ...

Despite its somewhat unglamorous reputation, database management and administration is an industry experiencing rapid growth, persistent talent shortages, and significant changes brought by AI.

However, there are challenges to hosting ML workloads in a production database environment. Running Python or R scripts can introduce security considerations or compete for system resources.

Query optimisation remains a critical discipline in database systems, underpinning the efficiency and responsiveness of data-driven applications. By selecting optimal execution plans, modern query ...

But there are challenges to cloud adoption and optimization, including issues of adopting at scale; demonstrating the business value of cloud adoption; ensuring compliance and dealing with data ...

To maximize their cloud investments, C-level executives are increasingly focused on cloud optimization and FinOps. This article explores some of the top challenges and strategies for overcoming them.