The data fragmentation challenge With both increased risk exposure and growing storage costs to tackle, how should IT professionals be looking to manage data fragmentation more effectively?

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 ...

Mass data fragmentation is not some heap we can point to and clean up. Imagine if every piece of plastic in the Great Pacific Garbage Patch was well-distributed across the ocean -- we would never ...

Machine learning insight To tackle this problem, Imanis Data has developed a data-aware software solution that is powered by machine learning and focused on backup, recovery and archiving.

Mass data fragmentation has been a problem ever since there has been data. CIOs that focus on addressing the issue will gain better insights and realize many business benefits.

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 ...

Informatica, a leader in enterprise AI-powered cloud data management, today announced that FUJIFILM Holdings Corporation has implemented Informatica’ s Master Data Management solution to manage ...

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