Posts tagged "data-warehouse-automation"
- Keep the model stable, change the template
Keep the model stable, change the template: metadata-driven code generation turns one governed model into native Databricks code, with other platforms next.
- The template engine is yours
DeltaVault's data warehouse automation templates are versioned, team-owned, and open to your own AI assistant, so your standards live in templates you control.
- You already own the stack
You already own the lakehouse, storage, and orchestration. The missing layer is data warehouse automation: business meaning in, Data Vault and workflows out.
- Edit the template, watch the code change
Jinja template code generation you can see: open DeltaVault's template playground, edit the template, and watch the generated code update live.
- Manage data, not plumbing
Declare table metadata once; DeltaVault generates create-table, merge and workflow code for Databricks, Snowflake or Fabric. That is data warehouse automation.
- Show Me Your Silver Layer
Any AI tool can land data in your bronze layer. The medallion architecture's real test is an integrated silver layer, and that is a people problem.
- How raw is your Data Vault?
In a raw vault, raw describes the data, not the structure. Why source-shaped vaults never integrate, and how to rebuild yours without starting over.
- Where, Oh Where, Has Integration Gone?
An AI can model every source you own and still leave your warehouse un-integrated. Data integration is a decision about business keys, and AI can draft it.
- Build or buy: the cost AI hides
Build or buy a data platform? With AI-assisted coding, building your own looks cheap. The code was never the expensive part: owning it is.