Data can change the world, but our data leaders – the people who help spearhead this change – often struggle to do their jobs well. Moving past big data buzzwords, the challenges they face and what ...

An exciting shift is underway in the world of enterprise data. For the last several decades, data has been inextricably bound to hardware. The stewards of data within large organizations were forced ...

Test data manage­ment (TDM) refers to the process of creating, main­taining, and using test data to validate the functionality of an application. TDM is a critical aspect of the testing process, as it ...

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. From Data Friction to ...

Open data lakehouse architectures speed insights and deliver self-service analytics capabilities. In partnership withDremio Regeneron Pharmaceuticals, a biotechnology company that develops ...

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Data quality management is a crucial aspect ...

Data, the potent fuel powering the AI-driven enterprise, is always on the move, as are the tools, technologies, and techniques being employed to manage and deliver it. With the intense emphasis on AI ...

The Libraries provide guidance for writing Data Management (and Sharing) Plans (DMPs or DMSPs), whether they are required as part of a grant proposal or written electively to support effective ...

Rapid developments in healthcare-associated technology have improved how patients are treated and influenced healthcare outcomes. These advances have percolated into everything from digital ...

As the amount of data law enforcement agencies collect increases, so do the challenges they face when managing that data. OFFICER Magazine recently spoke to Adi Kavaler, Chief Technology Officer at ...

The CARE Principles (Collective Benefit, Authority to Control, Responsibility, Ethics) were developed to ensure ethical stewardship of Indigenous data. However, their adaptability makes them an ideal ...