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.
Here are 1,550 public repositories matching this topic...
the portable Python dataframe library
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Jun 13, 2024 - Python
Rewrite BigQuery, Redshift, Snowflake and Databricks queries into DuckDB compatible SQL (with deep transformation of functions, data types and format characters) using Java.
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Jun 13, 2024 - Java
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
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Jun 13, 2024 - Python
Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake, BigQuery, Redshift) in real-time.
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Jun 12, 2024 - Go
Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.
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Jun 12, 2024 - TypeScript
The ML project uses Linear Regression to predict the trip time of a bike rental for a new prediction system in new mobile application. The ML datasets have been collected and stored in a BigQuery public dataset
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Jun 12, 2024
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
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Jun 12, 2024 - Python
End to End MLOps with Berka Bank Dataset and VertexAI
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Jun 12, 2024 - Jupyter Notebook
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
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Jun 13, 2024 - Go
📊 Cube — The Semantic Layer for Building Data Applications
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Jun 12, 2024 - Rust
Helpers for Google Cloud BigQuery.
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Jun 12, 2024 - JavaScript
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Jun 12, 2024 - Java
Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.
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Jun 12, 2024 - Java
Released May 19, 2010
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