Criação de segmentação de publico via SQL para nova feature do enjoei de comissão reduzida
-
Updated
Sep 14, 2023
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.
Criação de segmentação de publico via SQL para nova feature do enjoei de comissão reduzida
Linux Kernel source code for the device bq Aquaris M10 4G
Automate Google Forms Reponses on Google Sheets to be Imported in Bigquery & Automate Building Parameterized Views.
Linux Kernel source code for the device bq Aquaris M10
Design of the BQ ZUM board and some of the components used on the BQ's kit "Kit advanced"
Linux Kernel source code for the device bq Aquaris M10 FHD
Blockly blocks repository for Arduino and robot programming
Released May 19, 2010