BigQuery ingestion-time partitioning and partition copy with dbt
· 8 min read
At Teads, we’ve been using BigQuery (BQ) to build our analytics stack since 2017. As presented in a previous article, we have designed pipelines that use multiple roll-ups that are aggregated in data marts. Most of them revolve around time series, and therefore time-based partitioning is often the most appropriate approach.