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.
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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.
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
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
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Supercharge BigQuery with BigFunctions
🎣 List of `pre-commit` hooks to ensure the quality of your `dbt` projects.
Simple Python client for interacting with Google BigQuery.
Easily view PyPI download statistics via Google's BigQuery.
Community Security Analytics provides a set of community-driven audit & threat queries for Google Cloud
Generates the BigQuery schema from newline-delimited JSON or CSV data records.
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
A Data Engineering project. Repository for backend infrastructure and Streamlit app files for a Premier League Dashboard.
Released May 19, 2010