Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

Juniper Networks today announced new products and capabilities to help organizations secure their distributed data center environments -- no, it's not secure access service edge (SASE). The new ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

Do traditional storage architectures need to be updated? After all, nearly every enterprise storage system that's available today is fundamentally based on an architecture that is now decades old – ...

Cloud data was supposed to enable AI at scale and democratize data. But how do we cope with the new complexities of distributed data? The emerging discipline of DataOps may help us here - along with ...

For years, companies have been moving their most valuable customer data into countless different systems used by marketing, ...

Data everywhere may be the future of cloud-native and edge computing deployments, but the possibilities come with expense and management issues. The idea of distributed data is an old concept that ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...