Skip to content
#

BigQuery

bigquery logo

Google BigQuery enables companies to handle large amounts of data without having to manage infrastructure. Google’s documentation describes it as a « serverless architecture (that) lets you use SQL queries to answer your organization's biggest questions with zero infrastructure management. BigQuery's scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes. » Its client libraries allow the use of widely known languages such as Python, Java, JavaScript, and Go. Federated queries are also supported, making it flexible to read data from external sources.

📖 A highly rated canonical book on it is « Google BigQuery: The Definitive Guide », a comprehensive reference.

Another enriching read on the subject is the inside story told in the article by the founding product manager of BigQuery celebrating its 10th anniversary.

Here are 1,561 public repositories matching this topic...

elementary

The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

  • Updated Jun 19, 2024
  • HTML

Released May 19, 2010

Followers
49 followers
Repository
GoogleCloudPlatform/bigquery-utils
Website
cloud.google.com/bigquery
Wikipedia
Wikipedia

Related Topics

cloud-computing