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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.

https://github.com/zborovskaanna/e-commerce-web-events-analysis

SQL project based on the Big Query public database 'The Look e-Commerce' and a dashboard in Looker Studio

analysis bigquery dashboard data-visualization looker-studio sql

Last synced: 13 Oct 2024

https://github.com/victorcezeh/data-engineering-final-semester-portfolio

This GitHub repository serves as a comprehensive platform for managing and showcasing my data engineering projects and assessments throughout my final semester at Alt School Africa. Designed to foster collaboration, organization, and continuous improvement, this repository is the backbone of my academic journey in data engineering.

bigquery docker gcs-bucket postgresql python

Last synced: 12 Oct 2024

https://github.com/manesioz/airflow-without-code

Dynamically generate DAGs to ingest SQL files into BigQuery with one line of "code"

airflow airflow-plugin bigquery python sql

Last synced: 09 Nov 2024

https://gitlab.com/solidninja/albion

A Scala BigQuery client

bigquery scala

Last synced: 23 Oct 2024

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