CIO Business Intelligence

MARCH 5, 2024

ZB of data in novelized form would create nearly 400,000 stacks of books, with each stack rising all the way to the moon. Accessing this data and keeping it available for end-users is a critical capability for a modern business. IDC predicts that the amount of commercial data in storage will be 12.8 ZB by 2026.

Disaster Recovery 106

Disaster Recovery Cloud Data Business Continuity 106

CTOvision

JULY 9, 2014

The data is too big, moves too fast, or does not fit the structures of your database architectures. However, massively parallel processing (MPP) database architectures are one example of purpose-built technologies that have been developed to support both OLTP and OLAP data structures at enormous scales up into the petabytes (PB).

Big Data 286

Big Data Data Analysis Fractional CTO 286

CIO Business Intelligence

JULY 7, 2022

Keeping it at acceptable levels requires an underlying data architecture that can handle the demands of globally deployed real-time applications. Key features of Cassandra’s distributed architecture are specifically tailored for deployment across multiple data centers.

Applications 100

Applications Data Center Disaster Recovery Architecture 100

CIO Business Intelligence

DECEMBER 13, 2022

Because of its geographic distribution and the fact that data is replicated across multiple datacenters, Cassandra’s uptime and disaster recovery capabilities are unparalleled. Because it’s partitioned over a distributed architecture, Cassandra is capable of handling various data types at petabyte scale.

Open Source 59

Open Source Disaster Recovery Data Center Data 59