Hope below will give you an idea on how to quickly check your inventory for specific dataset
You can extend this logic to union multiple datasets and doing whatever aggregation you are interested in
SELECT table_id,
DATE(creation_time/1000) AS creation_date,
DATE(last_modified_time/1000) AS last_modified_date,
row_count,
size_bytes,
CASE
WHEN type = 1 THEN 'table'
WHEN type = 2 THEN 'view'
WHEN type = 3 THEN 'external'
ELSE '?'
END AS type,
TIMESTAMP(creation_time/1000) AS creation_time,
TIMESTAMP(last_modified_time/1000) AS last_modified_time,
dataset_id,
project_id
FROM [project.dataset1.__TABLES__],
[project.dataset2.__TABLES__],
[project.dataset3.__TABLES__],
[project.dataset4.__TABLES__],
[project.dataset5.__TABLES__]
Depends on size of datasets (in terms of number of tables in them) at some point above query can start complaining. so you might need to batch your stats. hope this helps