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Technique that removes duplicate data segments or files to reduce storage footprint and costs.
DESCRIPTION
Data deduplication identifies identical blocks or files and stores a single copy, referencing it where duplicates appear. It can operate at file, block, or variable-chunk levels and be inline or post-process. Dedup complements compression for storage efficiency, especially in backups and archival systems. Benefits include lower capacity needs and faster replication. Trade-offs include CPU usage, metadata overhead, and potential latency impacts.
ALTERNATIVE DEFINITIONS
Wikipedia
Data deduplication is a specialized data compression technique for eliminating duplicate copies of repeating data.
Frames dedup as a form of compression focused on duplicate elimination.
NetApp ONTAP
Deduplication eliminates duplicate blocks within a volume by storing a single physical copy and sharing it among logical references.
Block-level dedup in enterprise storage systems.
Dell Technologies
Data deduplication is the process of identifying and removing duplicate chunks of data to improve storage efficiency.
Vendor explanation of chunk-level dedup for storage efficiency.
RELATED TERMS
Hashing Fingerprinting Block-level Deduplication Compression Backup Materialized View Content Addressable Storage Erasure Coding Object Storage RAID
COMPETING TERMS
RELATIONS
- Broader: Deduplication
KNOWLEDGE AREAS
Data Storage & Operations Data Management Infrastructure
TARGET AUDIENCE
Data Engineer DevOps Engineer Cloud Architect Data Architect
EXTERNAL SOURCES
- Wikipedia - Data deduplication
- NetApp - ONTAP deduplication overview
- Microsoft - Windows Server deduplication
- Ceph - Object storage and efficiency
- Dell Technologies - Deduplication concept and benefits
TOP QUESTIONS
How does Data Deduplication differ from compression?
Dedup removes duplicates across data segments; compression reduces entropy within a segment. They are complementary.
Category: Definition
Where is Data Deduplication most effective?
Backups and archival datasets with high redundancy benefit greatly from deduplication.
Category: Example
What are common deduplication techniques?
Fixed or variable-length chunking, hashing, and content-addressable storage are widely used.
Category: Overview
What’s a common mistake with Data Deduplication?
Applying heavy inline dedup on latency-sensitive paths can hurt performance. Use post-process where appropriate.
Category: Mistakes
How to validate Data Deduplication effectiveness?
Monitor dedup ratios, CPU overhead, I/O latency, and storage savings over time.
Category: Observability
Does encryption affect Data Deduplication?
Encrypted data appears random, reducing dedup effectiveness. Dedup before encryption where feasible and permitted.
Category: Risks
Is Data Deduplication suitable for databases?
It can help with backups and snapshots; inline dedup at block level depends on database storage design.
Category: Opinion
How does Data Deduplication influence costs?
It lowers storage capacity usage and replication bandwidth, potentially reducing overall infrastructure costs.
Category: Relevancy
Can Data Deduplication be combined with tiering?
Yes. Dedup reduces footprint, and tiering places deduped data on cost-appropriate storage.
Category: Best practices