Schema management for your datasets is changing 🚀
No more endless scrolling to move a field when managing your dataset schema! With the new interfaces and a dedicated tab, everything becomes simpler and faster. ✨
Schema define the structure of your datasets and we’ve completely redesigned how you manage them for a smoother and more intuitive experience.
Discover the updates included in this release. 👇
A new tab dedicated to schema management
Until now, schema management was accessed via the "Processing" tab of your back office. Moving forward, it has its own dedicated space in the new "Schema" tab.
🌟 An optimized visualization and editing experience
Intuitive drag-and-drop management to instantly organize your fields.
Seamless navigation, perfect for effortlessly browsing through columns.
Simplified editing through a separate side panel.
⏱️ Faster and more flexible schema management performance
With schema management now in a dedicated tab, schema changes are now applied instantly, independent of the processing preview's calculation time—a significant improvement when handling large datasets.
Updates to the “Processing” and “Visualization” tabs
“Processing” tab: This tab now focuses exclusively on processing actions, including adding processors. While field configuration has been moved to the dedicated schema tab, you can still configure fields directly from this space using a convenient shortcut designed to save you time.
“Visualization” tab: This tab, dedicated to customizing the front-office views of your portal, now features a “Settings” sub-tab. Here, you'll find all the options for configuring the fields visible to your end users, such as:
- Record filters, which can now be sorted independently of the field order defined in the schema.
- Filters on records. New: filters can now be ordered independently of the field order defined in the schema (⏳ This feature is still in beta and may not yet work across all your datasets).
- Column displays adapted to your portal's language.
Learn more
- Read more in the User Documentation:
- Defining a dataset schema
- Configuring filters and visible fields
- Refining your data through processing
- Share your questions on Community
- Contact our Support Team