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NetApp, Inc. is an American data infrastructure company that provides unified data storage, integrated data services, and cloud operations (CloudOps) solutions to enterprise customers. The company is based in San Jose, California. It was ranked in the Fortune 500 from 2012 to 2021. Founded in 1992 with an initial public offering in 1995, NetApp offers…
The analysis highlights History, Technology, Companies and Products as prominent areas in the source structure around NetApp.
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 NetApp shows recurring relationship patterns in the source. For example, NetApp → According, Big, Brocade, Dell, Dell EMC, EMC, EMC Corporation, Hitachi, HP, Hutchinson Technology, IBM, IDC, Imation, In, Quantum, Seagate, Seagate Technology, Western Digital, Xyratex Another extracted example is NetApp → All Flash FAS A800, At, Auspex Systems, Blue Coat Systems, CEO, David Hitz, George Kurian, In, In May, Inc, James Lau, Michael Malcolm, NetCache, Network Appliance, NVMe, On June, ONTAP, Sequoia Capital, Tom Georgens. 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.
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TTTA extracted 118 structured relationships around NetApp. Examples in this analysis include NetApp → Area served → Worldwide and NetApp → Formerly → Network Appliance, Inc. (1992–2008). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| NetApp | Area served | Worldwide | 1.00 | infobox |
| NetApp | Formerly | Network Appliance, Inc. (1992–2008) | 1.00 | infobox |
| NetApp | Founded | 1992; 34 years ago (1992) | 1.00 | infobox |
| NetApp | Founders | David Hitz | 1.00 | infobox |
| NetApp | Founders | James Lau | 1.00 | infobox |
| NetApp | Founders | Michael Malcolm | 1.00 | infobox |
| NetApp | Headquarters | San Jose, California, U.S. | 1.00 | infobox |
| NetApp | Industry | Cloud computing | 1.00 | infobox |
| NetApp | Industry | Storage device | 1.00 | infobox |
| NetApp | Key people | George Kurian (CEO) | 1.00 | infobox |
| NetApp | Key people | César Cernuda (president) | 1.00 | infobox |
| NetApp | Key people | Mike Nevens (chairman) | 1.00 | infobox |
| NetApp | Net income | US$1.19 billion (2025) | 1.00 | infobox |
| NetApp | Number of employees | 11,700 (2025) | 1.00 | infobox |
| NetApp | Operating income | US$1.34 billion (2025) | 1.00 | infobox |
| NetApp | Products | Servers | 1.00 | infobox |
| NetApp | Products | SAN storage | 1.00 | infobox |
| NetApp | Products | NAS storage | 1.00 | infobox |
| NetApp | Products | Networking | 1.00 | infobox |
| NetApp | Products | Software | 1.00 | infobox |
| NetApp | Revenue | US$6.57 billion (2025) | 1.00 | infobox |
| NetApp | Total assets | US$10.8 billion (2025) | 1.00 | infobox |
| NetApp | Total equity | US$1.04 billion (2025) | 1.00 | infobox |
| NetApp | Traded as | Nasdaq: NTAP | 1.00 | infobox |
| NetApp | Traded as | S&P 500 component | 1.00 | infobox |
| NetApp | Type | Public | 1.00 | infobox |
| NetApp | Website | www.netapp.com | 1.00 | infobox |
The concept neighborhoods around NetApp bring nearby vocabulary together. In this analysis, examples include Storage, Named and Products. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For NetApp, one of the stronger structural bridges in this analysis connects NetApp with Competition. 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 NetApp to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — NetApp · EN edition · Analysis: TopicsToTalkAbout