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Data center

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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History, Applications, Economy & Art

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

Explore this topic

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Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. 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.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Data center

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

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

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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 Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

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

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
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

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

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

    Connections between topic areas Semantic bridges

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