Previous blogs in this six-part series covered the savings, scalability, security, and simplicity inherent to cloud-native solutions and different data-protection architectures commonly found in today’s fast-changing cloud environment. This blog looks at how rich metadata can make cloud-native data protection apps particularly effective.
With cloud data protection and management, a SaaS data protection provider can collect and consolidate data from all an enterprise’s sources. These typically include file servers, virtual machines, mobile endpoints, and cloud workloads from SaaS apps like Office 365 and PaaS apps like Oracle. But it’s not just about the data. In addition to native file metadata, the app can create its own enhanced metadata, such as time-indexing, for each file and maintain a “master” metadata database in the cloud.
Enhanced metadata plays diverse roles in enhancing your cloud data protection solution:
Apart from extending metadata, a cloud-native data protection solution such as Druva can also automatically perform full-text indexing to speed eDiscovery and improve compliance and governance. Druva is a flexible, cloud-native solution that offers cloud backup and disaster recovery across endpoints, data center, and cloud workloads — without requiring any dedicated hardware, software, or skilled resources. In addition, Druva Cloud Platform is built on AWS, making it secure, infinitely scalable, and globally accessible.
Check out blogs #1 and #2 in this series: Why Enterprises are Turning to the Cloud for Data Protection and Management and Deployment Options for Your Cloud Data Protection. Our next one will post soon.