The efficiency and performance of Distributed DataBase Management Systems (DDBMS) is mainly measured by its proper design and by network communication cost between sites. Fragmentation and ...

With the Cerner acquisition now complete, Oracle's co-founder and CTO says his company will build a national EHR database to address interoperability challenges for patients, providers and public ...

Amazon’s AWS helps marketers tackle data fragmentation with machine learning AWS Entity Resolution promises to simplify the process for analyzing, matching and linking customer records from multiple ...

Is fragmented customer data hindering your organization's customer experience (CX)? 38% of businesses struggle with data fragmentation, siloed systems and/or tech integration challenges, so it's an ...

The current challenge with data governance is fragmentation, especially as technology advances. For 2025, how can organizations and individuals enhance their data privacy practices?

With mass data fragmentation, organizations don’t know what data they have, where it’s stored, and if it’s protected and in compliance.

The convergence of structured and unstructured intelligence presents challenges for enterprise generative AI (GenAI) architecture. To address this, data platforms must unify data pipelines, metadata, ...