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BigQuery Lens highlights inefficiencies in your BigQuery usage. The analysis represents the last 30 days of use
bigquery.tables.getDatapermission to provide clustering recommendations that are unique to BigQuery Lens Advanced.
WHEREclause (i.e., the columns which can be clustered on). Knowing how many distinct elements exist in each column allows us to compute the average chunk size and determine the best savings candidates.
doitintl-cmp-bqis created in the billing project attached to the service account you add to the CMP.
doitintl-cmp-bq.cloudaudit_ googleapis_com_data_accessand create a new table named
doitintl-cmp-bq.enrichedJobs. This operation is done at no cost to you. We do this to perform an enrichment process so that we have a clean dataset to work with.
doitintl-cmp-bqdataset, as well as two more derived tables named
queries. These tables allow the lens to run over aggregated data rather than raw data.