White Paper: Datos IO
To handle the data protection requirements of this new generation of real-time applications, enterprises are increasingly turning to data protection software for distributed and cloud databases.
Data protection software provides automated, scalable, consistent and reliable recovery for big data and cloud environments.
What are the new data protection requirements for cloud database security?
How this fundamental shift raises the critical issues in the lifecycle of data management?
This informative whitepaper brings you the key benefits of using Data Protection software:
In this whitepaper, we will review different challenges for data storage security and privacy protection in the cloud computing environment.
Hyper Converged Infrastructures (HCI) brings non-disruptive scaling, reduced complexity, and other benefits, but it requires a stronger data-protection strategy because hyper convergence brings new vulnerabilities. Hyper converged systems are a perfect target-one unique system to encrypt with a built-in replication to spread the malware. For smaller companies with relatively few virtual machines (VMs), a Hyper Converged Infrastructure solution may be the only architecture their data center needs, providing the ultimate simplification. Some critical applications can also be hosted on an HCI, but designing an HCI to meet performance service-level agreements (SLAs) might be challenging compared to designing a more traditional infrastructure. This whitepaper provides insights on data protection basics and its role in Hyper Converged Infrastructure projects. It also explains about how designing an HCI to meet performance service-level agreements (SLAs) might be challenging. From virtualized to hyper converged environments- Understand data protection basics and implications in these environments Hyper convergence- New Threats: Understand Data Protection and the Implications in an HCI How to choose the right approach for your hyper converged environments Array-Based Snapshots Are Not Backups
By: Aberdeen Group
Today, the challenge for many organizations is that the variety of data needed for many innovative analyses is often locked away within other functional areas. Even with the inherent value in traditional customer applications, presently most compelling insights are actually derived by combining multiple different types of disparate data. This whitepaper focuses specifically on the sales and marketing functions to understand how this approach can draw us closer to our customers and elevate business performance. Several common characteristics that helps to exploit the expanded variety of data: Propensity to share data Executive-level support Self-service data access