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 ...

Database servers suffer from two distinct types of fragmentation: internal and external. Internal fragmentation occurs when records are removed from database pages causing the space the record ...

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.

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?

Fujifilm chose Informatica’s MDM to combine data across multiple source systems resulting from decades-long business expansion and transformations.

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.

The San José-based data management company commissioned Vanson Bourne to survey about 900 global IT leaders, 115 of them in the public sector, to get a sense for the mass data fragmentation problem.

IT managers believe that fragmentation of corporate data across their IT infrastructure and an emerging “Shadow IT” network of user devices or consumer cloud services outside their control are putting ...

Data is viewed as the primary source of fuel for digital transformation, but mass data fragmentation is holding companies back.