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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.
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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.
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The extracted context around DATATRIEVE shows recurring relationship patterns in the source. For example, DATATRIEVE → DEC's Central Commercial Engineering, Jim Starkey, Many, Merrimack, Nashua, New Hampshire, PDP-11, VAX DATATRIEVE, VAX Information Architecture, Version Another extracted example is DATATRIEVE → CDD, Common Data Dictionary, OpenVMS, RMS. 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 language march 2017 files data
TTTA extracted 20 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 history | DEC's Central Commercial Engineering | 0.60 | section |
| DATATRIEVE | related to history | Merrimack | 0.60 | section |
| DATATRIEVE | related to history | Nashua | 0.60 | section |
| DATATRIEVE | related to history | New Hampshire | 0.60 | section |
| DATATRIEVE | related to history | Jim Starkey | 0.60 | section |
| DATATRIEVE | related to history | Many | 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
