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White Paper | Presented by Carbonite

5 Steps to Improving IT Resiliency

There are five essential steps to protecting data and applications from the most common causes of data loss and downtime. IT pros who follow these steps can feel confident in their long-term organizational plan. Read this expert guide from Ben Maas, an independent consultant and system architect who has guided many companies through backup and disaster recovery (BDR) deployments.

White Paper | Presented by Carbonite

Carbonite: Complete Data Protection

Data protection is a balancing act between the need to protect data and the need to protect access to data. The trick lies with deploying the right protection across the different systems and types of data, since they each require different forms of protection.

Case Study | Presented by Carbonite

Diamond Foods Shares Recipe for Data Protection Success

Diamond Foods’ Diamond of California nuts are household staples for shoppers across the U.S. But constantly filling grocery store shelves with snacks requires intricate supply chain management that relies on critical business data, including complex spreadsheets and enterprise resource planning files, to keep production and deliveries on schedule.

White Paper | Presented by Carbonite

DRaaS Ushers in Changes to Data Protection Strategy

In the last few years, businesses have changed the way they protect data. Studies show they’re abandoning traditional backup and recovery in favor of disaster recovery as a service (DRaaS).1 With DRaaS, businesses enjoy the luxury of keeping a replica of their data hosted at a remote site that they can fail over to in an emergency—without bearing any of the infrastructure costs or maintenance responsibilities.

White Paper | Presented by Carbonite

Global Deduplication for Encrypted Data

Global data deduplication provides important benefits over traditional deduplication processes because it removes redundant data through entire enterprises, not just single devices. Global deduplication increases the data deduplication ratio—the size of the original data measured against the size of the data store after redundancies are removed.