Data Staging Area

A data staging area holds input or intermediate results apart from the version consumers are meant to use. It gives a load a place to be inspected and validated before publication. This is a pipeline role, not one storage technology or the Git index.

For a daily load, retain a batch manifest, stage its rows, check source coverage and keys, build the transformed candidate, then validate that output too. A valid input can still produce a bad join. Run-specific tables or prefixes prevent one run from replacing another run’s candidate. Restrict consumer access so staging is not accidentally treated as published output.

A temporary table is one implementation, but may disappear with its session. Retain permitted input durably if investigation must survive a crash. Staging does not guarantee atomic publication or correct data; transactions, supported version switches and meaningful checks provide those separate properties. A direct target write can also be validated before commit inside a suitable transaction.

Reference: SQLite transactions.