{"repo":"unytics/bigfunctions","free":true,"listed":false,"github":"https://github.com/unytics/bigfunctions","clone":"git clone https://github.com/unytics/bigfunctions.git","description":"Supercharge BigQuery with BigFunctions","language":"Python","stars":759,"topics":["bigquery","data","data-analytics","data-visualization","data-warehouse","data-engineering"],"license":"MIT","category":"data-pipelines","readme_excerpt":"Supercharge BigQuery with BigFunctions --- 🔍️ 1. Supercharge BigQuery with BigFunctions 1. BigFunctions is a framework to build a governed catalog of BigQuery functions to supercharge BigQuery . 2. It also comes with 150+ functions built by the community that you can call directly (no install) or redeploy in YOUR catalog. 3. You can now perform any advanced data task, be it load, transform or take actions by running SQL commands in BigQuery. Learn more 👀 2. Call public BigFunctions without install from your GCP project All BigFunctions represented by a 'yaml' file in bigfunctions folder are deployed in public datasets . You can then call them directly without install from your BigQuery project. Give it a try! Execute this SQL query from your GCP Project 👀: Explore open BigFunctions 🚀 3. Deploy BigFunctions in your GCP project You can also deploy any bigfunction in your project! To deploy my bigfunction defined in bigfunctions/my bigfunction.yaml file, simply call: Discover the framework 👋 4. Contribute BigFunctions is fully open-source. Any contribution is more than welcome 🤗! - Add a ⭐ on the repo to show your support - Join our Slack and talk with us - Suggest a new function here - Raise an issue there - Open a Pull-Request! (See contributing instructions). Contributors","default_branch":null,"files":null,"tree":[],"storefront":"/r/unytics","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/unytics/bigfunctions/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}