Google BigQuery is a replacement for the hardware setup for the traditional data warehouse.
It is used as a data warehouse and thus, acts as a collective store for all the analytical data in an organization.
Also, the BigQuery organizes the data table into the units that are known as datasets.
Using BigQuery proves very useful for the data warehouse practitioners, here are some of them –
BigQuery allocated query resources and storage resources dynamically on the basis of requirement and usage. Thus, it doesn’t require the provisioning of resources before usage.
It has different data storage formats such as proprietary format, proprietary columnar format, query access pattern, Google’s distributed file system and others for efficient storage management.
It is a fully maintained and managed service.BigQuery architects deal with the updates and support of the administration completely with no downtime or block to the performance.
BigQuery provides backup recovery and disaster recovery at a broader level. Users can easily revert to previous changes without the need for back up and recovery.