04-10-26, 04:53 PM
Welcome,
Presenting a dataset from https://www.izslt.it. It covers Contacts, Event Participations, and Professional Affiliations and is neatly organized into 3 sections for analysis.
Dataset Structure & Headers:
It is structured in 3 logical blocks:
1. Contacts
Customer contact and identification details for users registered on the platform
contact_id, first_name, last_name, gender, birth_date, tax_code, email_address, phone_number, mobile_number, fax_number, residence_street, residence_street_number, residence_postal_code, residence_city_code, residence_province_code, residence_region_code, residence_country, birth_country_foreign_code, birth_city_code, birth_province_code, birth_region_code, registration_date, last_modified_date, is_active, hashed_password, record_id, created_at, modified_at, modified_by, created_by, lead_source, account_tier, preferred_language, contact_status, marketing_opt_in, last_login_ip, last_login_date, crm_owner, region_code, timezone, preferred_contact_method, notes, duplicate_check_flag, data_verified_flag, external_system_id
2. Event Participations
Records of user participations or registrations in external or internal events relevant to the organization
event_external_id, contact_id, discipline_id, profession_id, user_type, activation_date, activation_code, status_id, registration_date, last_modified_date, participation_id, created_at, created_by, modified_at, modified_by, event_role, attendance_status, feedback_score, certificate_issued_flag, payment_status, payment_method, transaction_id, reminder_sent_flag, reminder_date, crm_owner, region_code, confirmation_code, notes
3. Professional Affiliations
User employer or professional affiliation details related to workplace and job classification
contact_id, employer_name, employer_street, employer_street_number, employer_postal_code, employer_city_code, employer_province_code, employer_region_code, group_id, is_employee, profession_id, affiliation_type, user_type, affiliation_id, created_at, created_by, modified_at, modified_by, start_date, end_date, position_title, department, work_email, work_phone, work_mobile, employment_status, contract_type, region_code, crm_owner, notes
Sample URLs (snippets of the data): https://gofile.io/d/7WG7Wt, https://gofile.io/d/nselKA, https://gofile.io/d/iOKwEO
What Makes This Data Useful:
· Covers Contacts, Event Participations, Professional Affiliations.
· Includes fields such as last_login_date, email_address, tax_code.
Price: $900 PM me your budget
Contact & Transaction:
Message @unload7 on Telegram or DM for transactions.
Secure Transaction:
I'm happy to use forum escrow or a trusted middleman. We'll find a safe arrangement that works for everyone.
Peace,
Presenting a dataset from https://www.izslt.it. It covers Contacts, Event Participations, and Professional Affiliations and is neatly organized into 3 sections for analysis.
Dataset Structure & Headers:
It is structured in 3 logical blocks:
1. Contacts
Customer contact and identification details for users registered on the platform
contact_id, first_name, last_name, gender, birth_date, tax_code, email_address, phone_number, mobile_number, fax_number, residence_street, residence_street_number, residence_postal_code, residence_city_code, residence_province_code, residence_region_code, residence_country, birth_country_foreign_code, birth_city_code, birth_province_code, birth_region_code, registration_date, last_modified_date, is_active, hashed_password, record_id, created_at, modified_at, modified_by, created_by, lead_source, account_tier, preferred_language, contact_status, marketing_opt_in, last_login_ip, last_login_date, crm_owner, region_code, timezone, preferred_contact_method, notes, duplicate_check_flag, data_verified_flag, external_system_id
2. Event Participations
Records of user participations or registrations in external or internal events relevant to the organization
event_external_id, contact_id, discipline_id, profession_id, user_type, activation_date, activation_code, status_id, registration_date, last_modified_date, participation_id, created_at, created_by, modified_at, modified_by, event_role, attendance_status, feedback_score, certificate_issued_flag, payment_status, payment_method, transaction_id, reminder_sent_flag, reminder_date, crm_owner, region_code, confirmation_code, notes
3. Professional Affiliations
User employer or professional affiliation details related to workplace and job classification
contact_id, employer_name, employer_street, employer_street_number, employer_postal_code, employer_city_code, employer_province_code, employer_region_code, group_id, is_employee, profession_id, affiliation_type, user_type, affiliation_id, created_at, created_by, modified_at, modified_by, start_date, end_date, position_title, department, work_email, work_phone, work_mobile, employment_status, contract_type, region_code, crm_owner, notes
Sample URLs (snippets of the data): https://gofile.io/d/7WG7Wt, https://gofile.io/d/nselKA, https://gofile.io/d/iOKwEO
What Makes This Data Useful:
· Covers Contacts, Event Participations, Professional Affiliations.
· Includes fields such as last_login_date, email_address, tax_code.
Price: $900 PM me your budget
Contact & Transaction:
Message @unload7 on Telegram or DM for transactions.
Secure Transaction:
I'm happy to use forum escrow or a trusted middleman. We'll find a safe arrangement that works for everyone.
Peace,
Ban reason: selling in database section | scam (Permanent)