Data center

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

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

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: 262
Related term clusters: 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.

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Data center

8Data · Computer · IT infrastructure

13Cloud database · Hyperscale computing · Internet service provider

14International Energy Agency · AI boom · Hyperscale

7Renewable energy · Climate change mitigation · Greenhouse gas emissions

7Federal Energy Regulatory Commission · Power plants · Chris Wright

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.

History

Design and architecture

Power infrastructure

Water footprint

Future

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

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, Bank, California, CIT, Colossus, Data, Data Center Coalition, Electric, Energy, Fossil, Georgia, Google, Growth, Harvard Law School, Higher, IEA Another extracted example is Data center → AI, Companies, Due, Environmental Protection Agency, EPA, Global, Google, IEA's, Microsoft, Microsoft's, Tencent, Three Mile Island, TWh. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

has impact · 39

Data center → According, AI, Amazon, America Institute, American, Bank, California, CIT, Colossus, Data, Data Center Coalition, Electric, Energy, Fossil, Georgia, Google, Growth, Harvard Law School, Higher, IEA

related to Greenhouse gas emissions · 13

Data center → AI, Companies, Due, Environmental Protection Agency, EPA, Global, Google, IEA's, Microsoft, Microsoft's, Tencent, Three Mile Island, TWh

related to Tax incentives · 13

Data center → December, Economic Perspectives, Economists, JEP, JLARC, Joint Legislative Audit, Journal, Review Commission, Thus, Timothy Bartik, Upjohn Institute, Virginia, Virginia's

related to Water footprint · 13

Data center → According, AI, Berkeley Lab, December, Environmental Research Letters, IEA, In Virginia, JLARC, MWh, On-site, United States, US, Water

related to In political ecology · 11

Data center → AI, Critics, Data, Google, Luleå, Microsoft, Oregon, Prineville, Scholars, STS, Sweden

related to Electricity and grid policy · 10

Data center → Additionally, Congress, IEA, July, Lawrence Berkeley National Laboratory, LBNL, NERC, PJM Interconnection, Reliability Corporation, The North American Electric

related to Industry standards · 10

Data center → Data Centers, Internet, NEBS Requirements, Spaces, Telcordia, Telcordia GR-3160, Telecommunications Data Center Equipment, Telecommunications Infrastructure Standard, The Telecommunications Industry Association, TIA

related to Network infrastructure · 9

Data center → Additional, Also, Communications, Data, DNS, Internet, Network, Redundancy, VPN

related to Obsolescence and modernization · 9

Data center → August, December, Gartner, IDC, Industry, International Data Corporation, Jacqueline Davis, May, Uptime Institute

related to Opposition · 9

Data center → Americans, Data Center Watch, Facilities, Gallup, Groups, June, March, May, Social

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 262 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.

Subject	Predicate	Object	Confidence	Src
Data center	is a	physical room	0.90	text
Amazon Web Services	instance of	used by cloud service providers	0.80	text
Google Cloud Platform	instance of	used by cloud service providers	0.80	text
IBM Cloud	instance of	used by cloud service providers	0.80	text
and Microsoft Azure	instance of	used by cloud service providers	0.80	text
standard racks to mount equipment	instance of	and methods to accommodate and organize these were devised	0.80	text
raised floors	instance of	and methods to accommodate and organize these were devised	0.80	text
and cable trays	instance of	and methods to accommodate and organize these were devised	0.80	text
provisioning	instance of	Automating tasks	0.80	text
configuration	instance of	Automating tasks	0.80	text
patching	instance of	Automating tasks	0.80	text
release management	instance of	Automating tasks	0.80	text

Related concept clusters Related term clusters

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

Triples262

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

Data center: History, Applications, Economy & Art

Data center topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Types

History

Design and architecture

Energy use and environmental impact

Power infrastructure

Regulation and policy responses

Water footprint

Socioeconomic and environmental impacts

Future

For the semantics nerds

Advanced semantic analysis

How Data center connects Entity context

Data center

Top relations

Important terminology

Important terminology

Data center relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Data center

Source & methodology