As Tulip solutions grow across users, sites, and use cases, the way you structure your data becomes increasingly important. Thoughtful table design and a strong data model help ensure your applications remain fast, maintainable, and easy to expand over time.
In this webinar, we’ll walk through practical best practices for structuring tables and queries to support high-performing solutions. Starting with the Tulip Common Data Model, we’ll cover how to standardize your data architecture with artifacts like orders, units, and materials.
You’ll learn how to structure tables for high-performance apps, avoid patterns that limit scalability, and use techniques like table record archiving and efficient query design to maintain responsiveness as your data grows.
Whether you’re building your first production apps or expanding an enterprise deployment, this session will help you set up your data architecture for long-term success.
By the end of the session, you will be able to:
Design Tulip tables that support scalable, high-performance apps
Use table record archiving strategies to manage growing datasets
Apply best practices for building efficient queries and retrieving only the data your apps need
Use the Tulip Common Data Model as a foundation (or inspiration) for structuring operational data
Identify common data modeling patterns that can impact performance as solutions grow
Structure tables to support flexible relationships and reusable queries
Featuring:
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Tim Reblitz
Technical Account Manager, Tulip
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Hugo Richard
Library Product Manager, Tulip