Together, these three visual and methodological perspectives do not merely coexist; they form a holistic constellation.

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Informatica has long been a dominant force in enterprise data management. But the landscape is changing. Learn how its shift to cloud-only impacts its viability as a test data management tool.

As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and mul­tiplied. Instead of just ...

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.

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

Finding itself in the unusual position of playing catch-up, SAS announced SAS Model Manager today at its annual M2006 Data Mining Conference in Las Vegas. Rival analytic firms SPSS and Teradata, a ...