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Change DataBlend schema columns without breaking what reads them
For integration teams who want a schema updated after a source change, with every affected query shown, by asking their AI assistant.
On this page
Connector
Connect DataBlend, pick your AI tool and paste the prompt.
The problem
Schema changes break the queries that read them
When a source system adds or renames a field, the DataBlend schema has to follow. Removing a column drops the values stored under it, and the queries that read those columns do not update themselves.
Without PopdockAI
- Edit schema columns by hand
- Drop stored values without realising
- Half apply a change that did not make sense
- Learn which queries broke from next week's failed run
With PopdockAI
- Every column change is spelled out before it is applied
- Removals come with a warning about the values they drop
- Incoherent changes stop the run instead of half applying
- Every query, collector, target and step affected is listed
Who it's for
One answer, three teams that use it
Integration developers
Keep up with source changes
Apply a renamed or new field cleanly and see the knock-on work straight away.
Add a column region_code to the DataBlend Orders schema and rename ship_dt to ship_date.
Data engineers
Remove columns knowingly
A clear warning shows what stored values a removal will drop before you go ahead.
Remove the legacy_id column from the DataBlend Products schema and tell me what reads it.
IT administrators
Avoid next week's failed run
Every affected query, collector, target and step is listed for follow-up.
Our ERP renamed vendor_no to supplier_id. Update the DataBlend Vendors schema and list what needs fixing.
How it works
What PopdockAI does when you ask
You describe the columns to add, rename or remove, and your AI assistant spells out each change before applying it. Afterwards you get the follow-up list of everything that references a moved column.
01
Ask
You describe the columns to add, rename or remove.
02
Review
Each change is spelled out, with a warning about values a removal drops.
03
Apply
Incoherent changes stop the run rather than half applying.
04
Report
You get the queries, collectors, targets and steps that reference moved columns.
The outcome
The schema follows the source, with no hidden breakage
Related use cases
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