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BigQuery

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.

GitHub: https://github.com/topics/bigquery
Wikipedia: https://en.wikipedia.org/wiki/BigQuery/
Repo: https://github.com/GoogleCloudPlatform/bigquery-utils/
Released: May 19, 2010
Related Topics: cloud-computing,
Aliases: bq,
Last updated: 2024-11-15 00:03:21 UTC
JSON Representation

https://github.com/janaom/gcp-de-project-data-pipeline-with-cloud-run-functions-airflow-biggueryml

Build a data pipeline on Google Cloud using an event-driven architecture, leveraging GCS, Cloud Run functions, and BigQuery. Explore both VM and Composer options for Airflow management, and utilize Logging & Monitoring for pipeline health. Discover how SQL-based BigQuery ML can be used for initial ML implementation in specific scenarios.

airflow bigquery bigqueryml cloud-functions cloud-run-functions composer data-engineering-project google-cloud-platform

Last synced: 13 Oct 2024

https://github.com/tirendazacademy/hands-on-data-science-with-gcp

Google BigQuery Tutorial

big-data big-data-analytics bigdata bigquery bigquery-ml bigqueryml cloud-computing data-analysis data-analytics data-engineering data-science dataanalysis dataengineering google-bigquery google-cloud-platform machienlearning machine-learning

Last synced: 08 Nov 2024

https://github.com/davelester/gharchive-bigquery-examples

Examples Using BigQuery to Analyze GH Archive Data

bigquery gharchive

Last synced: 15 Oct 2024

https://github.com/vaibhavs10/ml-on-gcp

The repository walks through a Data Scientist focused way of building and deploying Machine Learning models on Google Cloud

aiplatform bigquery googlecloudplatform ml

Last synced: 25 Oct 2024

https://github.com/spacepatcher/google-workspace-gmail-collector

👁 App for collecting Gmail logs from your Google Workspace account and sending them to Kafka

bigquery gmail google-workspace security soc

Last synced: 23 Oct 2024

https://github.com/patriciavalentine/loan-data-queries

In this project, I analyzed a vehicle loan dataset using BigQuery to identify demographic, financial, and loan patterns. Through SQL queries, I extracted insights such as the credit scores, and loan distribution by region, and explored high-risk profiles. The findings are visualized in Looker Studio, thus helping to inform strategic decisions.

asset-finance bigquery loan-data looker-studio

Last synced: 21 Oct 2024

https://github.com/akansharajput280799/strategic-analysis-of-retail-brand-in-south-america-using-sql

Leveraged Big Query and MySQL to analyze 100K records for sales optimization, trend identification, and enhancing customer satisfaction for a retail brand in South America and to provide insights and recommendations to improve their userbase and improve their services

bigquery data-analysis data-science database database-schema google-bigquery mysql-server sql