Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Data deduplication

In computing, data deduplication is a technique for eliminating duplicate copies of repeating data. Successful implementation of the technique can improve storage utilization, which may in turn lower capital expenditure by reducing the overall amount of storage media required to meet storage capacity needs. It can also be applied to network data…

Classification, Functioning principle & Drawbacks and concerns

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Data deduplication. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Classification

HashSNIA DictionaryCopy-on-writeInodesSymbolic links
10 related topics

Functioning principle

MegabyteEmailComputer codeVariablesReferenced
7 related topics

Drawbacks and concerns

Cryptographic hash functionsHash collisionBirthday attackData corruptionSHA-1
6 related topics

Single instance storage

File systemsEmail serverDataBackup
4 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Functioning principle

Benefits

Classification

Single instance storage

Drawbacks and concerns

Implementations

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Data deduplication

Nodes45
Edges44
Triples74
Avg. degree1.96
Density0.044444
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Data deduplication

Top relations

related to External links · 16
Data deduplication → Better Way, Biggar, Data Compression, Database, DDSR SIGUnderstanding Data Deduplication, Difference Between Data Deduplication, File Deduplication, Heidi, Jatinder SinghDeDuplication Demo, Latent Semantic Indexing, Less, RatiosDoing More, Store Data, The Data Deduplication EffectUsing, WebCast, What Is
related to Drawbacks and concerns · 11
Data deduplication → Both, If, Note, One, SHA-1, SHA-256, Systems, The, Thus, To, Weak
related to Functioning principle · 9
Data deduplication → CSS, Deduplication, Each, Examples, For, In, MB, MediaWiki, With
related to Benefits · 8
Data deduplication → Common, Hard-linking, In, In-line, It, Neither, See WAN, Storage-based
related to Source versus target deduplication · 8
Data deduplication → Another, Backing, Deduplication, Source, The, This, Unlike, When
has method · 6
Data deduplication → For, If, In, Once, One, The
related to Single instance storage · 4
Data deduplication → It, Single-instance, SIS, While
related to Data formats · 3
Data deduplication → Content-agnostic, Content-aware, The SNIA Dictionary
is a · 1
Data deduplication → technique for eliminating duplicate copies of repeating data

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data deduplication storage hash file files systems stored system duplicate copies may process backup performance compression also copy in-line single

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Data deduplicationis atechnique for eliminating duplicate copies of repeating data0.90text
a data repository or a virtual tape library.Deduplication methodsOne of the most common forms of data deduplication implementations works by comparing chunks of data to detect duplicatesinstance ofGenerally this will be a backup store0.80text
a data repository or a virtual tape libraryinstance ofGenerally this will be a backup store0.80text
entire files or email messages.Single-instance storage can be used alongsideinstance ofeliminating redundant copies of objects0.80text
SHA-1instance ofThe hash functions used include standards0.80text
SHA-256instance ofThe hash functions used include standards0.80text
and others.The computational resource intensity of the process can be a drawback of data deduplicationinstance ofThe hash functions used include standards0.80text
in ZFS or Write Anywhere File Layoutinstance ofImplementationsDeduplication is implemented in some filesystems0.80text
in different disk arrays modelsinstance ofImplementationsDeduplication is implemented in some filesystems0.80text
Data deduplicationhas methodOne0.60section
Data deduplicationhas methodFor0.60section
Data deduplicationhas methodIn0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.