Bot that web scrapes and logs in BigQuery the donations so far of the Charter Challenge for Fair Voting.
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Updated
May 6, 2024 - Go
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.
Bot that web scrapes and logs in BigQuery the donations so far of the Charter Challenge for Fair Voting.
Simple golang app that crawls sec EDGAR filings and loads indices into Google BigQuery
Automatically generate job parameter options from GCP Dataflow Templates
Example of authentication function for login with Cloud Functions and BigQuery
Geo-index social network backend code
A protocol buffer compiler (protoc) plugin for generating Google BigQuery JSON table definitions.
Creates a mock BigQuery client based on the bigquery-emulator for testing in Golang projects.
Released May 19, 2010