Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn scattered data into a strategic advantage. Organizations are getting serious about ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Leaders often tell us that they collect a plethora of data but do not always find the time to look at it, much less talk about it with staff and use it to take actionable next steps. That’s ...

Data governance and data stewardship depend on effective data classification. Data storage is also less efficient unless the business has a solid data classification plan. Manual data ...

There are five key capabilities that a classification solution should have. There is a big difference between scanning a terabyte of storage space for a medium-sized company and scanning 12 petabytes ...

A data map helps you figure out the answers by supporting data discovery and data classification. In turn, data discovery and classification enable you to fulfill a spectrum of compliance needs.

Data classification enables organizations to group data systematically in categories and select and rank it as per the mandatory measures of sensitivity and utility. Normally, data is labeled as ...

Understand the key differences between data logging and data acquisition. A Delphin ProfiMessage modular industrial data acquisition and control system. Source: CAS Data Loggers A data logger is a ...

Sentra, the cloud data security leader, is announcing the integration of large language models (LLMs) into its data classification engine, re-envisioning data security as even more proactive, ...