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A Checklist For Cloud Data Management

Written on: Jan 10, 2019 8:30:00 AM

Written by: Alex Raben

Topic

[Cloud]

Upgrade your data management strategy to support today’s demands.

The system – or systems – you purchased or inherited years ago are probably not appropriate for the modern data protection needs of your organisation.

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Use this handy checklist when you’re researching data protection that supports files, applications, databases, and hypervisors, plus both public and private clouds.

What areas of data management does this system support?
  • Data backup
    Data recovery
    Single view of on-premises and cloud data
    Setting automated data policies
    eDiscovery
    Disaster recovery
    GDPR readiness
    Ransomware recovery options
    eDiscovery
    Disaster recovery
    GDPR readiness
    Ransomware recovery options
What is the breadth and depth of cloud support?

Microsoft Azure

  • Azure Virtual Machines
    Azure SQL Database
    Azure Blob Storage (Hot and Cool and Archive)
    Azure Data Box

Amazon AWS

  • Elastic Compute Cloud (Amazon EC2)
    Relational Database Service (Amazon RDS)
    Simple Storage Service (Amazon S3 & S3-IA)
    Glacier
    Snowball

Oracle Cloud

  • Oracle Cloud Infrastructure Object Storage (OCI)
    Oracle Cloud Infrastructure Object Storage (S3 Compatible)
    Oracle Cloud Infrastructure Archive
    Storage Classic (OCIC)

Google Cloud

  • Nearline
    Coldline
    Regional
    Multi-Regional

Private clouds

  • IBM
    HPE
    Rackspace
    VMware
What are the data migration capabilities of the system?
  • Move data to the cloud
  • Move data from the cloud
  • Move data across cloud storage – public or private
  • Built-in compression, deduplication, and encryption
  • Automation to define process flows across data projects
  • Orchestration from provisioning to validation
  • Native cloud integrations instead of proprietary gateways
  • Automated data archiving based on preset retention schedules
What data management capabilities are included?
  • Manage data across on-premises data centers, public, and private clouds
    GDPR readiness: detection of personal data for proactive data cleanup and data subject requests
    Extend on-premises service level agreements (SLA) for policies to cloud
    Apply consistent management policies as new data enters the environment
How does the data management platform support data use?
  • Users can discover and recover data across hybrid locations
    Access data without restoring it; use data directly from the cloud repository
    Single search for data indexing across on-premises and cloud storage
    Quickly create new dev/test environments in the cloud using replicated data
How does the platform support disaster recovery?
  • Manage disaster recovery across on-premises, public, and private cloud storage
    Automate disaster recovery workflows with tested cloud management policies
    Push-button disaster recovery processes to create cloud storage, data, and policies
    Recover data and applications directly in the cloud or across platforms (physical-virtual-cloud)
    Multiple recovery time objectives (RTO) and recovery point objectives (RPO) for different workloads
Learn more about Comprehensive Cloud Data Management with Commvault

Looking for Expert advice? - Please get in touch for more information on how we can help evolve your data management platform today, or request a quote using our easy to use Quote Generator

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