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  • Database Magazine
  • Glossary of Terms
    • A
      • Archive
      • Active backup for Office 365
      • AWS Backup
      • Active Directory
      • Agent
      • Anti-ransomware solutions
    • B
      • Backup
      • Backup and Recovery
      • Backup as a service
      • Bare-metal backup
      • Backup repository
      • Backup schedule
      • Backup Solutions
      • Business Continuity
    • C
      • Cloud Backup
      • Continuous Data Protection (CDP)
      • Compression
      • Consistency check
      • Cold Backup
      • Cloud Data Management (CDM)
    • D
      • Data Deduplication
      • Disaster Recovery (DR)
      • Differential Backup
      • Disk-to-Disk (D2D) Backup
      • Disaster Recovery (DR)
    • E
      • Encryption
      • Endpoint Backup
      • Erasure Coding
      • Export/Import
      • Enterprise Backup Software
    • F
      • Full Backup
      • Failover
      • File-Level Backup
      • File Sync and Share
      • Fireproof and Waterproof Storage
    • G
      • Grandfather-Father-Son (GFS)
      • Granular Recovery
      • Geographically Dispersed Backup
      • Ghost Imaging
      • Global Deduplication
    • H
      • Hybrid Backup
      • Hot Backup
      • High Availability (HA)
      • Hard Disk Drive (HDD)
      • Hybrid Cloud Backup
    • I
      • Incremental Backup
      • Image-based Backup
      • Instant Recovery
      • Integrity Check
      • Infrastructure as a Service (IaaS)
    • J
      • Journaling
      • Job Scheduler
      • Just-in-Time Recovery
      • Journal-Based Recovery
      • Jumbo Frames
    • K
      • Key Management
      • Kernel-Based Recovery
      • Kickstart
      • Kept Versions
      • Kill Switch
    • L
      • Long-Term Retention
      • Log-Based Recovery
      • Local Backup
      • Latency
      • Load Balancing
    • M
      • Metadata
      • Mirroring
      • Multi-Site Replication
      • Media Rotation
      • Mounting
    • N
      • Nearline Storage
      • Network-Attached Storage (NAS)
      • Non-Destructive Recovery
    • O
      • Offsite Backup
      • Online Backup
      • Object Storage
      • Offsite Replication
      • Open File Backup
      • Overwrite Protection
      • One-Click Restore
    • P
      • Point-in-Time Recovery
      • Primary Storage
      • Physical Backup
      • Private Cloud Backup
      • P2V (Physical-to-Virtual) Conversion
    • Q
      • Quiesce
      • Quick Recovery
      • Quota Management
      • Quality of Service (QoS)
      • Query-Based Recovery
    • R
      • Recovery Point Objective (RPO)
      • Recovery Time Objective (RTO)
      • Replication
      • Restore
      • Retention Policy
    • S
      • Snapshot
      • Storage Area Network (SAN)
      • Secondary Storage
      • Single Point of Failure (SPOF)
      • Synthetic Full Backup
    • T
      • Tape Backup
      • Two-Factor Authentication (2FA)
      • Thin Provisioning
      • Test Restore
      • Transaction Log
    • U
      • Universal Restore
    • V
      • Versioning
      • Virtual Machine (VM) Backup
      • Verification
      • Vaulting
      • Virtual Tape Library (VTL)
    • W
      • Warm Site
      • Workload Mobility
      • WAN Acceleration
      • Write-Once, Read-Many (WORM)
      • Windows Backup
    • X
      • XOR (Exclusive OR)
    • Y
      • Yearly Backup
    • Z
      • Zero Data Loss
  • Best Practices and Tips
    • How to backup Microsoft 365 using third-party backup tools
  • FAQs
    • Does Office 365 have backups?
    • What is the best backup for Office 365?
    • How do I backup my Office 365 backup?
    • What is the backup tool for Office 365?
    • Does Office 365 have storage?
    • Is OneDrive a reliable backup solution?
    • What is an Incremental Backup?
    • Does VMware have a backup tool?
    • What is VMware considered backup?
    • What are the types of backup in VMware?
    • Is VMware snapshot a backup?
    • What is the best way to backup a Hyper-V VM?
    • How do I create a backup in Hyper-V?
    • Should you backup a Hyper-V host?
    • What is the difference between Hyper-V snapshot and backup?
    • What is the disaster recovery in IT industry?
    • What should an IT disaster recovery plan include?
    • What are the main steps in IT disaster recovery?
    • What is the difference between IT security and disaster recovery?
    • What is a NAS backup?
    • How do I backup my NAS data?
    • Can NAS be used as a backup?
    • What is Nutanix used for?
    • What is Nutanix storage?
    • What is RPO and RTO in Nutanix?
    • What is MSP backup?
    • What is managed backup service?
    • How do I restore my MSP backup?
    • What is Azure Backup?
    • What is the purpose of Azure Backup?
    • What are the different types of Azure cloud backups?
    • Is Azure Backup a PaaS?
    • What are the downsides of Backblaze?
    • Does Backblaze backup everything?
    • Is Backblaze better than Google Drive?
  • Resources
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  • Definition
  • Explanation
  • Related terms
  1. Glossary of Terms
  2. G

Global Deduplication

Discover the power of Global Deduplication, an efficient data optimization technique that eliminates redundant data across multiple systems or locations.

Definition

Global Deduplication, also known as Enterprise Deduplication, is a data reduction technique used in backup and storage systems to eliminate duplicate data across multiple sources and locations within an organization. It optimizes storage efficiency by identifying and storing only unique data segments, resulting in reduced storage requirements and improved backup performance.

Explanation

Global Deduplication is a deduplication technique that goes beyond traditional deduplication methods by identifying and eliminating duplicate data across multiple sources and locations within an organization. It is typically employed in backup and storage systems to minimize storage consumption and optimize backup performance.

Here's how Global Deduplication typically works:

  1. Data Segment Identification: Global Deduplication analyzes data segments (blocks, chunks, or files) across various sources and locations, such as servers, endpoints, and backup repositories. It breaks down the data into smaller segments for comparison and identification of duplicate segments.

  2. Deduplication Index: A deduplication index or database is maintained to track and store unique data segments. This index contains metadata that helps identify duplicate segments and references to the unique instances of those segments.

  3. Duplicate Elimination: When data is backed up or stored, Global Deduplication compares the data segments against the deduplication index. If a segment is identified as a duplicate, only a reference or pointer to the unique instance of that segment is stored, rather than storing the duplicate segment itself. This eliminates redundant storage of duplicate data.

  4. Improved Storage Efficiency: Global Deduplication significantly reduces storage requirements by storing only unique data segments. As a result, organizations can optimize their storage capacity and reduce costs associated with additional storage infrastructure.

  5. Enhanced Backup Performance: By eliminating duplicate data during backup processes, Global Deduplication improves backup performance. It reduces the amount of data that needs to be transferred and stored, resulting in faster backup windows, reduced network bandwidth utilization, and shorter backup and recovery times.

Global Deduplication offers several benefits, including:

  • Storage Optimization: Global Deduplication minimizes storage requirements by eliminating duplicate data across multiple sources and locations. This allows organizations to maximize their storage capacity and potentially reduce costs associated with additional storage systems.

  • Bandwidth Efficiency: By reducing the amount of data transferred during backup operations, Global Deduplication optimizes network bandwidth utilization. It helps prevent network congestion and allows organizations to efficiently use their available network resources.

  • Faster Backup and Recovery: The elimination of duplicate data segments speeds up backup and recovery processes. It reduces the volume of data that needs to be processed, transmitted, and stored, resulting in shorter backup windows and faster data restoration in case of data loss incidents.

Related terms

  • Deduplication: The process of identifying and eliminating duplicate data within a single source or location. Global Deduplication extends deduplication capabilities to multiple sources and locations, allowing for the identification and elimination of duplicates across an organization.

  • Data Reduction: Data reduction techniques, such as deduplication and compression, are employed to minimize storage requirements. Global Deduplication is a form of data reduction that focuses on eliminating duplicate data segments.

  • Backup Storage Efficiency: The efficiency with which backup data is stored and managed. Global Deduplication improves backup storage efficiency by reducing the amount of duplicate data stored, optimizing storage utilization, and reducing backup storage costs.

  • Backup Performance: The speed and efficiency of backup operations. Global Deduplication enhances backup performance by reducing the amount of data processed, transmitted, and stored, resulting in faster backup windows and improved backup and recovery times.

  • Data Segmentation: The process of dividing data into smaller segments, such as blocks, chunks, or files, for storage and analysis purposes. Data segmentation is an essential step in Global Deduplication to identify duplicate data segments across multiple sources and locations.

  • Data Integrity: The accuracy, consistency, and reliability of data. Global Deduplication preserves data integrity by ensuring that duplicate data segments are eliminated while maintaining the integrity of unique data segments.

  • Deduplication Index: A database or index that stores metadata and references to unique data segments. The deduplication index is used during the deduplication process to identify duplicates and store references to unique instances of data segments.

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Last updated 1 year ago