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WagnerTech

Aug 9, 2026

37,095
Records
12
Files
Aug 9, 2026
Added

A SQL database dump from an entity named 'WagnerTech' containing aviation-themed data including flight bookings (buchung), flights (flug), airports (flughafen), airlines (fluglinie), flight schedules (flugplan), aircraft (flugzeug), passengers (passagier), passenger details, employee records (mitarbeiter), and weather data (wetterdaten). The data appears to be a German-language aviation database, possibly a training/educational dataset or a flight booking system. Contains passenger IDs, seat assignments, pricing, and geolocation data for thousands of airports worldwide.

Data found in this dataset

EmailFirst nameLast nameAddressCityCountryGenderzipskipdobphone

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Source files

Expand any file to inspect its column headers and the LLM's field-mapping reasoning, recorded during ingestion.

wagnerTech_data__buchung.csv
0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a pure transactional table with only booking IDs, flight IDs, seat assignments, passenger IDs, and prices. No PII fields are present. All columns are internal identifiers or monetary values.

wagnerTech_data__flug.csv
0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII detected in the first 50 rows. The dataset appears to be purely operational flight data (flight numbers, route codes, timestamps, airline/aircraft IDs) with no personal information such as names, contact details, or identifiers. All columns contain non-PII operational data.

wagnerTech_data__flughafen.csv
0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file with airport data (flughafen). No PII fields detected. Columns contain airport codes (IATA/ICAO), names, and identifiers — all non-personal data. No emails, phone numbers, names, or addresses present.

wagnerTech_data__flughafen_geo.csv
0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns detected in the provided rows. The file appears to be a list of airport codes and geographic coordinates without any personal or sensitive information.

wagnerTech_data__fluglinie.csv
0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing aviation company data (flight lines). No PII fields are present — only airline codes, names, and airport identifiers. All columns are business/metadata, not personal data.

wagnerTech_data__flugplan.csv
0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a flight schedule database with flight numbers, airport codes, departure/arrival times, airline IDs, and weekly operating days. All columns contain operational flight data (flight numbers, airport IDs, timestamps, airline IDs, schedule flags) with no personal identifiers. No PII fields are present.

wagnerTech_data__flugzeug.csv
0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a purely technical aircraft inventory table with no PII fields. Columns are: flugzeug_id (aircraft ID), kapazitaet (capacity), typ_id (type ID), fluglinie_id (airline ID). All values are numeric identifiers and capacities. No personal or sensitive data present.

wagnerTech_data__flugzeug_typ.csv
0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file contains only aviation-related entries with no PII fields present. It appears to be a structured list of aircraft models and descriptions without any personal information.

wagnerTech_data__mitarbeiter.csv
2 columns1,000 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source columnMapped fieldConfidenceLLM assessment
7ziphighheader "plz" resolves to PII field "zip"
9emailhighunlabeled column — sampled values parse as email addresses

Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance

wagnerTech_data__passagier.csv
2 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source columnMapped fieldConfidenceLLM assessment
2firstNamehighcolumn header 'vorname' translates to 'first name' in German; values are given names
3lastNamehighcolumn header 'nachname' translates to 'last name' in German; values are surnames

Notes: CSV file with passenger IDs and names. Columns 0 (passagier_id) and 1 (passnummer) are internal IDs and skipped. Columns 2 and 3 map to firstName and lastName respectively. No other PII present in the sample.

wagnerTech_data__passagierdetails.csv
9 columns36,095 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source columnMapped fieldConfidenceLLM assessment
0skiphigh[0] header 'passagier_id', values are numeric IDs
1dobhigh[1] header 'geburtsdatum', values match YYYY-MM-DD date pattern
2genderhigh[2] header 'geschlecht', values are 'm'/'w' (male/female)
3address1high[3] header 'strasse', values are street addresses
4cityhigh[4] header 'ort', values are city/town names
5ziphigh[5] header 'plz', values are postal codes
6countryhigh[6] header 'land', values are country names
7emailhigh[7] header 'emailadresse', values contain '@' email format
8phonehigh[8] header 'telefonnummer', values are phone numbers with spaces

Notes: 9 columns total, 8 contain PII. 'passagier_id' is an internal passenger ID and skipped.

wagnerTech_data__wetterdaten.csv
0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file contains purely meteorological data (date, time, station ID, temperature, humidity, pressure, wind speed, weather condition, wind direction). No PII fields are present. All columns are skipped per rules.