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Track the latest developments and participate in making an exceptional big data platform even easier.

Welcome to our developer community

Whether you’re an experienced HPCC Systems user or just getting started, there are several ways to get involved with our community.

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Call for Presentations and Poster Abstracts are now open for the 2018 HPCC Systems Community Day!

Join us at our gathering of engineers, data scientists, academia, and technology professionals who share knowledge, featured use cases / research projects, and future roadmap plans for the HPCC Systems platform.

View Additional Details

The recording is now available!
The Download: HPCC Systems Tech Talks Episode 16

Join the conversation

Forums

Search through the bulletin board of comments organized for developers, students, data scientists, administrators and more.

Issue Tracker

See how updates to HPCC Systems happen in real-time with detailed updates for each sprint of activity.

Contributions

Make your mark by contributing your ideas and code to the HPCC Systems community. All contributions are reviewed before being published.

Share your code

Code release process:

  1. Create a GitHub account.
  2. Fork the HPCC Platform (or other) repository.
  3. Clone your GitHub repository to your development machine.
  4. Create a new branch.
  5. Make the changes, and commit them to the branch.
  6. Push the branch to your GitHub repository.
  7. Issue a pull request.
  8. Get code reviewed.
  9. Code is merged!

Track, report and solve issues

For bug tracking and software tracking, we use Jira:

Help with active projects

Take a look at our 2018 Google Summer of Code and HPCC Systems Intern Program project lists. All project ideas are available for anyone who wants to contribute a solution. Some ideas are not fully formulated, others also show the name of an HPCC Systems developer to contact, so you can discuss your solution.

Connect with a developer

Have an idea and want to discuss it with an HPCC Systems developer? Email Lorraine Chapman who will help you get connected.

Contribute to the roadmap

The HPCC Systems team is always looking for contributors to the roadmap. View the HPCC Systems Roadmap. Interested in assisting on any of these items? Please contact us.

See what others have contributed

ECL Snippets
View or download ECL code snippets contributed by the community. Contribute ECL snippets of your own.

Public Data Sources
Access publicly available data sources to play with and leverage in your own ECL applications. Contribute links to public data sources.

Data Descriptors and Simple Example Programs
Download ECL data descriptors and example programs for working with common publicly available data sets such as those identified in the Public Data Sources section. Contribute ECL data descriptors and example programs of your own.

Want to see even more examples? Check out the GitHub ECL Samples repository.

Attend our upcoming events

Engage with experts from the HPCC Systems community and hear about the latest trends, break-throughs, challenges and opportunities in the world of big data. Join us at these upcoming events:
Georgia
United Kingdom
Georgia
North Carolina
Maryland

Check out our blog posts

  • Arjuna Chala
    2 weeks ago
    I recently presented at the Open Data Science Conference (OSDC) in Boston. During my presentation, I addressed how a well-designed data lake solution can help solve fundamental data integration problems, and I used a real-world example involving analysis of a New York city taxi company’s route and fare data (which was stored in various formats depending on what was being tracked specifically) to illustrate how data analysis could improve outcomes for cab drivers, cab companies and the local government.
  • Richard Chapman
    2 weeks ago
    A Bloom filter, named after its inventor Burton Howard Bloom, is a data structure that can be used to perform a cheap test for the potential presence of a particular value, in a way that is much faster than looking up the value in an index, requiring much less storage than the index would. Note the “potential” there. The Bloom filter can tell you for certain if a value is not present, but it cannot say for certain that a value is present, only that it may be present.
  • Dan Camper
    1 month 1 week ago
    As new ECL programmers, we've all been there.  Using the HPCC Systems big data technology, you've successfully imported a bunch of data, analyzed it using ECL, created aggregated datasets, built an index around the aggregations and written ROXIE code to deliver query results on those aggregations in sub-second time. But then...
Browse all blog entries.

Listen to our podcasts

The Download - A HPCC Systems Podcast
Monday, February 6, 2017

We chat with Arjuna Chala from LexisNexis Risk Solutions about the future of technology, FTC 2016 in San Francisco and HPCC Systems.

Friday, April 21, 2017

Flavio Villanustre joins John Biggs as a guest on his Technotopia podcast to chat about the future of big data and how the HPCC Systems open source platform handles massive data stores.

Monday, February 6, 2017

Jeff Bradshaw, the founder of Adaptris, and Graeme McCracken, Chief Operating Officer for Proagrica, chat with Jessica Lorti, from HPCC Systems, on how the farming community analyzes big data to in

Browse all podcasts, and follow HPCC Systems on SoundCloud, iTunes, and Google Play.

Subscribe to our newsletter

Stay up-to-date on the latest news for HPCC Systems developers by checking out the most recent issue and all past issues here.

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Partners

Work with our ecosystem partners. HPCC Systems partners help our customers drive efficiencies in implementing big data solutions. The expertise our partners provide is comprehensive.
Interested in joining our partner ecosystem? We’d love to hear from you. Send us an email.

We work closely with several universities and other academic institutions. Learn more about our academic relationships.

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