The 2026 CRN Big Data 100 includes vendors of database data analytics, data management, AI and generative AI, data warehouses ...

Research institutions face growing challenges managing large and complex datasets: Data volumes are increasing in size, variety, and velocity, while traditional, ad hoc data management practices lead ...

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 ...

Operational and analytical IT systems have always needed lots of data. But the wave of artificial intelligence and generative AI systems now being developed are pushing the demand for data to new ...

Milovan Suvakov, Ph.D. Describe the structure, purpose and types of large medical data repositories available to researchers. Analyze available data types and differentiate between the levels of data ...

Big data is continuing to proliferate at organizations, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured ...

Big-data company Informatica LLC is jumping into agentic artificial intelligence at the deep end, unleashing a wave of new AI agents aimed at helping companies automate some of the most laborious ...

In my previous article, I discussed using insights to manage the vast amounts of unstructured data that organizations accumulate. This information is incredibly valuable—it empowers businesses to make ...

The research identifies two primary models for this integration: the element model and the process model. The element model focuses on the five key aspects of evaluation: who, what, when, how, and why ...

Clinical data warehouses maximize veracity via schema-on-write and ACID guarantees, but ETL rework, limited modality support, ...