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: 2025-02-05 00:03:39 UTC
• JSON Representation

https://github.com/stoqey/rasputia

Rasputia Latimore - The Big Data Bitch 💋

bigquery

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https://github.com/vikasgupta1812/google_cloudml_scripts

https://goo.gl/dFjFQf

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https://github.com/knands42/data-ingestion

Data Ingestion project to evaluate my Kotlin skill using concurrency

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https://github.com/lucashomuniz/project-22

[Dashboard] Data and Sustainability: Optimizing Green Flow's Fertilizer Portfolio

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https://github.com/minhajuddin2510/bigquery_alerts

In today’s data-driven world, organisations heavily rely on timely alerts to monitor critical systems and make informed decisions. However, when working with BigQuery, a popular cloud-based data warehouse, there is no built-in functionality to generate alerts. In this article, we will explore how I recently built a cloud function to address this

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https://github.com/jasontanx/terraform-practice

Creating datasets and tables in Google BigQuery via Terraform

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https://github.com/alessio-siciliano/bigquery-advanced-utils

BigQuery-advanced-utils is a lightweight utility library that extends the official Google BigQuery Python client. It simplifies tasks like query management, data processing, and automation. Aimed at developers and data scientists, the project is open to contributions to improve and enhance its functionality.

bigquery datatransfer google-cloud python

Last synced: 01 Feb 2025

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