• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

GitHub releases data on 2.8 million open source repositories through Google BigQuery

June 30, 2016   Big Data

GitHub today announced that it’s releasing activity data for 2.8 million open source code repositories and making it available for people to analyze with the Google BigQuery cloud-based data warehousing tool.

The data set is free to explore. (With BigQuery you get to process up to one terabyte each month free of charge.)

This new 3TB data set includes information on “more than 145 million unique commits, over 2 billion different file paths and the contents of the latest revision for 163 million files, all of which are searchable with regular expressions,” Arfon Smith, program manager for open source data at GitHub, wrote in a blog post.

To get people started, Smith has put together some starter queries. Felipe Hoffa, a Google developer advocate who focuses on BigQuery, has put together some tips for working with the data sets in a Medium post.

The data set could be useful to anyone who want to get a sense of trends in open source software use on GitHub, and it’s simpler than tinkering with the GitHub application programming interface (API). For sure, GitHub, with more than 15 million users, isn’t the only place where open source software lives on the Internet — see also GitLab — but it is a very popular one, perhaps the most popular.

Today’s move effectively amounts to an expansion of the GitHub Archive, which was first introduced by Google web performance engineer Ilya Grigorik in 2012.

GitHub will update the data set every week, a spokesperson told VentureBeat in an email.

Get more stories like this on Twitter & Facebook

Google’s innovative search technologies connect millions of people around the world with information every day. Founded in 1998 by Stanford Ph.D. students Larry Page and Sergey Brin, Google … All Google news »

VB Profile Logo GitHub releases data on 2.8 million open source repositories through Google BigQueryTrack Google’s Landscape to stay on top of the industry. Access the entire ecosystem, track innovation & deals. Learn more.

GitHub is the best place to build software together. Over 4 million people use GitHub to share code. With the collaborative features of GitHub.com, our desktop and mobile apps, and GitHub En… All GitHub news »

VB Profile Logo GitHub releases data on 2.8 million open source repositories through Google BigQueryTrack GitHub’s Landscape to stay on top of the industry. Access the entire ecosystem, track innovation & deals. Learn more.

Let’s block ads! (Why?)

Big Data – VentureBeat

BigQuery, data, GitHub, Google, Million, Open, Releases, repositories, Source, Through
  • Recent Posts

    • NOT WHAT THEY MEANT BY “BUILDING ON THE BACKS OF….”
    • Why Healthcare Needs New Data and Analytics Solutions Before the Next Pandemic
    • Siemens and IBM extend alliance to IoT for manufacturing
    • Kevin Hart Joins John Hamburg For New Netflix Comedy Film Titled ‘Me Time’
    • Who is Monitoring your Microsoft Dynamics 365 Apps?
  • Categories

  • Archives

    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited