In a diverse and dynamic technology landscape, how can companies create a more intelligent approach to data management? Composable data systems based on open standards may be the next big thing for ...

An MDM program offers a competitive advantage by creating a two-way data clearinghouse with automation and tools to manage data that all your systems can access Until now, as a developer, you’ve been ...

How the TiDB distributed SQL database addresses the key needs of multitenant architectures while also providing advanced features for resource management and data placement. In a previous article, we ...

Most modern businesses recognize the value of data. For small businesses, this often means relying on reports generated by the business software platforms they use for daily operations. However, ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

As theCUBE Research has been tracking, the transformation of data management systems has been gradual yet profound. Over the past decade, organizations have increasingly recognized the value of ...

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 ...

Companies can face data-security challenges with cloud storage and access management. Data-security posture management can help identify risks and protect data. This story is part of "Security ...

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 ...