Tallyfy Manufactory supports six data types including TEXT for unlimited character data INTEGER for whole numbers DATE TIME and TIMESTAMP for temporal values with specific formatting requirements and JSON for complex structured information with validation enforced on all incoming data.
Naming conventions
Please note that a column/key1 can only accept lower case characters and _
Names cannot start with numbers
1username: Invalid
user-name: Invalid
username.: Invalid
username: Valid
username123: Valid
Best Practices > Understanding structured events
Structured events formatted as key-value pairs enable Tallyfy Manufactory to efficiently route and trigger workflows while providing the machine-parsable and searchable data needed for powerful querying and analysis of event-driven systems.
Implementation > Configuring user schema
Tallyfy Manufactory offers implementation resources covering user schema configuration event tracking and project planning with related guides for successful manufacturing operations integration.
Implementation > Configuring events schema
Contact Tallyfy for more information about configuring events schema in Manufactory while exploring related guides on user schema configuration planning events and implementation processes.
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Database columns in PostgreSQL JSONB fields for storing custom manufacturing data ↩
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