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DATATRIEVE is a database query and report writer tool originally from Digital Equipment Corporation. It runs on the OpenVMS operating system, as well as several PDP-11 operating systems. DATATRIEVE's command structure is nearly plain English, and it is an early example of a Fourth Generation Language (4GL).
The analysis highlights History and Companies as prominent areas in the source structure around DATATRIEVE.
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 DATATRIEVE shows recurring relationship patterns in the source. For example, DATATRIEVE → Archived, Gallagher, IBPhoenix, Joe, March, Martin, Retrieved, The DATATRIEVE Programmer, VSI, Wombats, Zinser Another extracted example is DATATRIEVE → DEC's Central Commercial Engineering, Jim Starkey, Many, Merrimack, Nashua, New Hampshire, PDP-11, VAX DATATRIEVE, VAX Information Architecture, Version. 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.
openvms pdp-11 english database software originally digital equipment corporation operating system systems retrieved structure plain early language march 2017 files
TTTA extracted 32 structured relationships around DATATRIEVE. Examples in this analysis include DATATRIEVE → Available in → English and DATATRIEVE → Developer → VMS Software Inc. (originally Digital Equipment Corporation). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| DATATRIEVE | Available in | English | 1.00 | infobox |
| DATATRIEVE | Developer | VMS Software Inc. (originally Digital Equipment Corporation) | 1.00 | infobox |
| DATATRIEVE | Operating system | OpenVMS, PDP-11 operating systems | 1.00 | infobox |
| DATATRIEVE | Stable release | 7.4-1 / March 2017 | 1.00 | infobox |
| DATATRIEVE | is a | database query and report writer tool originally from Digital Equipment Corporation | 0.90 | text |
| DATATRIEVE | related to Examples of DATATRIEVE usage | English | 0.60 | section |
| DATATRIEVE | related to External links | VSI | 0.60 | section |
| DATATRIEVE | related to External links | March | 0.60 | section |
| DATATRIEVE | related to External links | Retrieved | 0.60 | section |
| DATATRIEVE | related to External links | Joe | 0.60 | section |
| DATATRIEVE | related to External links | Gallagher | 0.60 | section |
| DATATRIEVE | related to External links | The DATATRIEVE Programmer | 0.60 | section |
The concept neighborhoods around DATATRIEVE bring nearby vocabulary together. In this analysis, examples include Corporation, Digital and Equipment. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For DATATRIEVE, one of the stronger structural bridges in this analysis connects DATATRIEVE with Overview. 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 DATATRIEVE to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — DATATRIEVE · EN edition · Analysis: TopicsToTalkAbout