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 ...

Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...

Earlier in 2023, we discussed The Importance of Metadata here in the DBA Corner column. And, indeed, metadata is more important than ever before because it helps us to understand our data. Data ...

Metadata management has become the practical dividing line between AI systems that scale and those that stall. As organizations push AI from experimentation into sustained production, the limiting ...

In the era of rapid digital transformation, the volume, variety, and velocity of enterprise data have reached unprecedented levels. What was once managed through simple manual processes and ...

LONDON--(BUSINESS WIRE)--Quantzig, a global analytics solutions provider, has announced the completion of their most recent whitepaper on the top five tips to master advanced metadata management. The ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group founder. When we talk about data management, we refer to a broad ...

Small businesses can create, collect and store a hefty amount of data, from daily transactions made in point-of-sale systems to inventory logged once shipments are received. Many of these data points ...

While search engines deal with unstructured documents by indexing their full text, we don’t have that luxury with digital assets. We can’t tell what a video is about without some sort of textual ...

In the process of gathering data for secondhand use, such as data warehouses and their many variants, organizations picked and chose pieces of data that fit their idea of what was needed to support ...