Data audit (Bytaru Audit)

The lakehouse grew without control: tables and columns nobody uses, slow loads, and no one knows where each number comes from. The audit shows what is used and what can go.

Who it is for

Companies that already have a layered lakehouse. Common signs: "the load is slow", "the platform bill went up", "we want to document ingestion".

What we deliver

• Ingestion inventory: each table, its source, load type and purpose.
• Usage map: where each table and column is read in the following layers and in BI.
• A spreadsheet with the columns in use and the removal candidates, plus an ingestion document.

How we do it

1. Reading the load repository.
2. Inventory and usage tracing.
3. Review of the findings with your team.
4. A reduction plan in waves, starting with what is safe to switch off.

How we measure

Tables and columns removed, and reduction in load time and cost. In a real case, 10 of 253 tables were unused.