Kaseya

NOVEMBER 9, 2023

It allows organizations to efficiently manage and process vast amounts of data without the constraints of on-premises infrastructure. Big data analytics: With enormous processing power and scalability, the cloud has revolutionized big data analytics.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

ProCal Tech

OCTOBER 2, 2022

Agility Planning a multi-cloud strategy is not an easy task. Adding a multi-cloud component to your disaster recovery plan provides the much-needed level of reliability and security by providing the ability to replicate your resources in the cloud space away from the disaster area.

Cloud 52

Cloud Disaster Recovery Storage Telecommunications 52

Datavail

MAY 28, 2020

There are plenty of obvious GoldenGate use cases, such as database migration and data consolidation to OLAP databases and big data ecosystems. Being able to quickly restore databases from backup is an important part of disaster recovery and business continuity. Dynamic rollback.

Disaster Recovery 59

Disaster Recovery Backup Testing Data 59

AWS Machine Learning - AI

FEBRUARY 1, 2024

Understanding and prioritizing resilience is crucial for generative AI workloads to meet organizational availability and business continuity requirements. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. Is your vector database highly available in a single AWS Region?

Generative AI 104

Generative AI Disaster Recovery Artificial Inteligence AWS 104

CTOvision

DECEMBER 15, 2014

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn’t refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.

Security 120

Security Government Technology Artificial Intelligence 120