Explain Google cloud bigquery architecture?

Question

Accepted Answer

Google Cloud BigQuery is a fully-managed, serverless data warehouse that uses a distributed architecture for processing and analyzing large datasets.

BigQuery uses a distributed storage system called Capacitor for storing and managing data.
It uses a distributed query engine called Dremel for executing SQL-like queries on large datasets.
BigQuery separates storage and compute, allowing users to scale compute resources independently.
It supports automatic data partitioning and clustering for optimizing query performance.
BigQuery provides built-in data encryption, access controls, and audit logs for data security.
It integrates with other Google Cloud services like Cloud Storage, Dataflow, and Dataproc for data ingestion and processing.

Accepted Answer

Decoupled storage and computation. Colossus and Dremel connected with Jupiter network..Borg drives the bigquery

Top Capgemini Gcp Data Engineer interview questions & answers