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 ...

For many databases, however, supporting this level of elasticity might require some fundamental reworking of the underlying architecture. Databases have been distributed in terms of instances running ...

Mass Data Fragmentation is holding enterprises back in their efforts to transform, but new flexible, cost-effective SDS solutions can help break down the siloes and modernise IT.

As Wes McKinney, author of Pandas, the most widely distributed Python data analysis toolkit, says, "Arrow will enable Python and R to become first class languages across the entire Big Data Stack." ...