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Jul 15, 2024 - Python
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.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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.
Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
📊 Cube — The Semantic Layer for Building Data Applications
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
the portable Python dataframe library
The open source high performance ELT framework powered by Apache Arrow
Open Source Feature Flagging and A/B Testing Platform
Privacy and Security focused Segment-alternative, in Golang and React
Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.
🍟 a notebook sql client. what you get when have a lot of sequels.
Libraries and tools for interoperability between Hadoop-related open-source software and Google Cloud Platform.
Released May 19, 2010