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Data center: History, Applications, Economy & Art

A data center is a physical room, building, or facility for the purpose of the storage, management, and dissemination of data and information, including computer systems, and associated components, housing IT infrastructure, and training artificial intelligence. The Energy Independence and Security Act of 2007 defines a data center as "any facility that…

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Data center topic overview

The analysis highlights History, Applications, Economy and Art as prominent areas in the source structure around Data center.

Related topics
255
Source areas
10
Connected nodes
265
Extracted relationships
372
Concept neighborhoods
71
Bridge connections
265

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Design and architecture · 59 topics
Overview · 47 topics
Regulation and policy responses · 34 topics
Energy use and environmental impact · 24 topics
Socioeconomic and environmental impacts · 23 topics
Types · 21 topics
Future · 16 topics
History · 15 topics
Water footprint · 14 topics
Power infrastructure · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Types

History

Design and architecture

Energy use and environmental impact

Power infrastructure

Regulation and policy responses

Water footprint

Socioeconomic and environmental impacts

Future

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.

How Data center connects Entity context

The extracted context around Data center shows recurring relationship patterns in the source. For example, Data center → According, AI, Amazon, America Institute, American, As, Bank, California, CIT, Colossus, Data, Data Center Coalition, Electric, Energy, For, Fossil, Georgia, Google, Growth, Harvard Law School Another extracted example is Data center → AI, As, Companies, Due, Environmental Protection Agency, EPA, Global, Google, However, IEA's, In, Microsoft, Microsoft's, Tencent, This, Three Mile Island, TWh. Use these groups to spot repeated connection types before inspecting the individual relationships.

Data center

Top relations

has impact · 45
Data center → According, AI, Amazon, America Institute, American, As, Bank, California, CIT, Colossus, Data, Data Center Coalition, Electric, Energy, For, Fossil, Georgia, Google, Growth, Harvard Law School
related to Greenhouse gas emissions · 17
Data center → AI, As, Companies, Due, Environmental Protection Agency, EPA, Global, Google, However, IEA's, In, Microsoft, Microsoft's, Tencent, This, Three Mile Island, TWh
related to Tax incentives · 16
Data center → By, December, Economic Perspectives, Economists, Further, JEP, JLARC, Joint Legislative Audit, Journal, Review Commission, The, Thus, Timothy Bartik, Upjohn Institute, Virginia, Virginia's
related to Water footprint · 15
Data center → According, AI, Berkeley Lab, December, Environmental Research Letters, IEA, In Virginia, JLARC, Most, MWh, On-site, The, United States, US, Water
related to External links · 14
Data center → Data, Data CentersThe European Commission, FAQ, H2020 EURECA Data Centre, Lawrence Berkeley Lab, Of The Future, Power For Data Centers, Project Archived August, Property Taxes, Research, Sun, The New Challenge, Wayback Machine, White Paper
related to Further reading · 14
Data center → Barroso, Computer, Designing Warehouse-Scale Machines, Hölzle, ISBN, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Luiz André, Parthasarathy, Ranganathan, Springer Cham, Urs, Wikisource-logo
related to In political ecology · 14
Data center → AI, Critics, Data, For, Google, In, Luleå, Microsoft, Oregon, Prineville, Scholars, STS, Sweden, This
related to Industry standards · 14
Data center → Data Centers, Internet, IT, NEBS Requirements, Spaces, Telcordia, Telcordia GR-3160, Telecommunications Data Center Equipment, Telecommunications Infrastructure Standard, The, The Telecommunications Industry Association, These, They, TIA
related to Climate policy alignment · 13
Data center → Hourly, In, It, Joule, Many, Nature Climate Change, REC-based, RECs, Science Based Targets, Scope, The, This, Under
related to Obsolescence and modernization · 13
Data center → As, August, December, Gartner, IDC, Industry, International Data Corporation, IT, Jacqueline Davis, May, That, The, Uptime Institute

Important terminology

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

Important terminology

data centers center energy water power cooling use electricity 2024 equipment infrastructure ai facilities also systems used hyperscale growth new

Data center relationships Subject–Predicate–Object triples

TTTA extracted 372 structured relationships around Data center. Examples in this analysis include Data center → is a → physical room and Amazon Web Services → instance of → used by cloud service providers. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Data centeris aphysical room0.90text
Amazon Web Servicesinstance ofused by cloud service providers0.80text
Google Cloud Platforminstance ofused by cloud service providers0.80text
IBM Cloudinstance ofused by cloud service providers0.80text
and Microsoft Azureinstance ofused by cloud service providers0.80text
standard racks to mount equipmentinstance ofand methods to accommodate and organize these were devised0.80text
raised floorsinstance ofand methods to accommodate and organize these were devised0.80text
and cable traysinstance ofand methods to accommodate and organize these were devised0.80text
provisioninginstance ofAutomating tasks0.80text
configurationinstance ofAutomating tasks0.80text
patchinginstance ofAutomating tasks0.80text
release managementinstance ofAutomating tasks0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Data center bring nearby vocabulary together. In this analysis, examples include Centers, Data and Energy. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Data center
    • Centers
    • Data
    • Energy
    • Power
    • Electricity
    • Water
    • Use
    • Computer
    • Growth
    • Equipment
    • Ai
    • New
  • data center
    • Centers
    • Data
    • Energy
    • Power
    • Electricity
    • Equipment
    • Water
    • Use
    • Infrastructure
    • Facilities
    • Computer
    • Growth
  • data
    • Centers
    • Energy
    • Power
    • Electricity
    • Water
    • Use
    • Growth
    • Equipment
    • Ai
    • New
    • Infrastructure
    • Facilities
  • it infrastructure
    • Colocation
    • Local
    • Power
    • Costs
    • Centers
    • Hyperscale
    • Environmental
    • Industry
    • New
    • Growth
    • Also
    • Facilities
  • energy independence and security act of 2007
    • Efficiency
    • Centers
    • Consumption
    • Use
    • Also
    • Power
    • Environmental
    • Ai
    • Facilities
    • Hyperscale
    • Electricity
    • Used
  • cloud data
    • Centers
    • Energy
    • Power
    • Electricity
    • Water
    • Use
    • Growth
    • Equipment
    • Ai
    • New
    • Infrastructure
    • Facilities
  • data connection equipment
    • Centers
    • Energy
    • Power
    • Electricity
    • Water
    • Use
    • Servers
    • Used
    • Growth
    • Equipment
    • Ai
    • New
  • colocation
    • Hyperscale
    • Facilities
    • Infrastructure
    • Server
    • Consumption
    • Cooling
    • Efficiency
    • Energy
    • Power
    • Companies
    • Computer
    • Emissions

Connections between topic areas Semantic bridges

For Data center, one of the stronger structural bridges in this analysis connects Data center with Design and architecture. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Data center — Design and architecture · splits 206 ⟂ 60
Data center — Overview · splits 218 ⟂ 48
Data center — Regulation and policy responses · splits 231 ⟂ 35
Data center — Energy use and environmental impact · splits 241 ⟂ 25
Data center — Socioeconomic and environmental impacts · splits 242 ⟂ 24
Data center — Types · splits 244 ⟂ 22
Data center — Future · splits 249 ⟂ 17
Data center — History · splits 250 ⟂ 16
Data center — Water footprint · splits 251 ⟂ 15
Data center — Power infrastructure · splits 263 ⟂ 3

Map overview Semantic statistics

Data center

Nodes266
Edges265
Triples372
Avg. degree1.99
Density0.007519
Components1

Source & methodology

TTTA analyzes the structure around Data center to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Economy & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Data center · EN edition · Analysis: TopicsToTalkAbout

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