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Hitachi Data Systems (HDS) was a provider of modular mid-range and high-end computer data storage systems, software, and services. Its operations are now a part of Hitachi Vantara.
The analysis highlights History, Art, Technology and Companies as prominent areas in the source structure around Hitachi Data Systems.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Hitachi Data Systems shows recurring relationship patterns in the source. For example, Hitachi Data Systems → Archivas, BlueArc, BlueArc's, Broadstone, Cofio Software, Digital Growth, England, HDS, Hitachi, Hitachi Consulting, Hitachi Vantara, Hitachi's Social Innovation Business, In January, In June, Internet, It, LEO Software Group, Linux, On August, On February Another extracted example is Hitachi Data Systems → Assess, Based, Consult, Design, Education, HDS Certification, Hitachi, Hitachi Data Systems Academy, Implement, Install, Integrate, IT, ITIL, Manage, Optimize, Plan, These, Transition. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
hitachi systems data storage hds software ibm national semiconductor itel services nas cloud vantara mainframe companies mainframes acquired advanced market
TTTA extracted 162 structured relationships around Hitachi Data Systems. Examples in this analysis include Hitachi Data Systems → Founded → 1989; 37 years ago (1989) and Hitachi Data Systems → Headquarters → Santa Clara, California, U.S.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Hitachi Data Systems | Founded | 1989; 37 years ago (1989) | 1.00 | infobox |
| Hitachi Data Systems | Headquarters | Santa Clara, California, U.S. | 1.00 | infobox |
| Hitachi Data Systems | Industry | Computer data storage systems Data storage software Computer systems Computer hardware Computer software IT consulting IT services | 1.00 | infobox |
| Hitachi Data Systems | Key people | Gajen Kandiah (CEO) | 1.00 | infobox |
| Hitachi Data Systems | Number of employees | 6,300 employees in more than 100 countries and regions | 1.00 | infobox |
| Hitachi Data Systems | Parent | Hitachi | 1.00 | infobox |
| Hitachi Data Systems | Successor | Hitachi Vantara | 1.00 | infobox |
| Hitachi Data Systems | Type | Subsidiary | 1.00 | infobox |
| Hitachi Data Systems | Website | www.hitachivantara.com | 1.00 | infobox |
| Sperry | instance of | Mainframe makers | 0.80 | text |
| Honeywell | instance of | Mainframe makers | 0.80 | text |
| Burroughs | instance of | Mainframe makers | 0.80 | text |
The concept neighborhoods around Hitachi Data Systems bring nearby vocabulary together. In this analysis, examples include Systems, Hitachi and Storage. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Hitachi Data Systems, one of the stronger structural bridges in this analysis connects Hitachi Data Systems with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Hitachi Data Systems to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art, Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Hitachi Data Systems · EN edition · Analysis: TopicsToTalkAbout