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An analytics team needs to collect daily marketing metrics and customer transaction records stored in an external cloud provider's object storage (such as Amazon S3 or Azure Blob Storage). The team wants to load this data automatically into a BigQuery dataset on a recurring 24-hour schedule without writing custom extraction scripts or managing virtual servers.
Which Google Cloud service should the team configure to meet these requirements?
Cloud Composer
BigQuery Data Transfer Service
Storage Transfer Service
Dataproc with Apache Spark
Cloud Composer
BigQuery Data Transfer Service
BigQuery Data Transfer Service (DTS) is a fully managed, serverless service designed to automate data movement directly into BigQuery datasets on a scheduled, recurring basis. It enables organizations and analytics teams to establish seamless ingestion pipelines from various external cloud providers, SaaS platforms, and internal Google services without writing custom code or managing underlying infrastructure.
bq command-line tool, or the Data Transfer Service API without developing custom extract-transform-load (ETL) scripts.WRITE_APPEND (for incremental batch additions) and WRITE_TRUNCATE (for complete table refreshes).BigQuery Data Transfer Service is the purpose-built solution in Google Cloud for loading external cloud and SaaS data directly into BigQuery. It eliminates maintenance overhead, reduces implementation time from weeks to minutes, and ensures reliable, automated scheduled delivery.
Storage Transfer Service
Dataproc with Apache Spark