New release adds global database connections, logical datasources, relational validation and flexible inspections to ...

Forbes contributors publish independent expert analyses and insights. Chief Analyst & CEO, NAND Research. In an era where artificial intelligence is reshaping industries, Oracle has once again ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time. Generative AI has already had a profound ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

When it comes to test data management and de-identification, how do Informatica and Tonic Structural compare? Explore the value of a modern, on-premises solution.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...