As a Partner at Optimity Advisors, my role is to work with clients to make data likeable: identifiable, discoverable, usable and ultimately, valuable. Companies are struggling to manage big data in a ...

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 ...

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 ...

Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security ...

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 ...

Managing files and data can often feel like an uphill battle, especially when dealing with ever-growing repositories of documents, spreadsheets, and other digital assets. If you’ve ever found yourself ...

California advances AI safety with SB 53, requiring transparency and risk reporting. Anthropic backs the bill, calling it a “trust but verify” approach. AI-driven automation is the theme of this ...

Cloudera also debuts new AI assistant to help data scientists, data engineers and developers boost productivity and streamline data workflows. Data platform giant Cloudera has struck a deal to acquire ...

CEO and Co-Founder of one of the first data intelligence platforms, BigID, and a privacy, security, and identity expert. Over the past five years, metadata management and data governance have grown in ...

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 ...