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Community

Welcome to the HPCC Systems developer community!

Track the latest developments and help make our platform even better. Whether you're an experienced HPCC Systems user or just getting started, there are a number of ways to get involved. Ask questions and find answers in our Support Forums.

Contribute to our community

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 Systems 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:

  1. Go to our Community Issue Tracker.
  2. Create an account (if you can, use same IDs on Jira and GitHub).
  3. Clone your GitHub repository to your development machine.
  4. Search for any issues assigned to available for anyone. Post questions in the issue.
  5. Discuss ideas in the Developer Forum.

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, and 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.

GitHub ECL Samples

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

Events

Join us at these upcoming events. Engage with experts from the HPCC Systems community and hear about the latest trends, breakthroughs, challenges and opportunities in the world of big data.

Upcoming Events

Georgia
Massachusetts

What’s new

Communicate with other developers and stay up to date on the latest HPCC Systems news.

Latest release details
Learn more by reading our HPCC Systems 7.0.0 blog.

Highlights include Python3 as the default, support for Spark 2.4 and remote reads, Java Embed improvements, ECL Watch timings dashboard, Workunit Analysis Tool, disk space visualizations, Data Patterns analytics, BLOOM filters, ECL language improvements, disk projection and record translation, persistent connections and faster syntax checking, security enhancements, easier Cloud deployment, new Machine Learning features and more.
Latest blog post
  • Cassandra Walker
    3 days 20 hours ago
    James McMullan, Sr. Software Engineer at LexisNexis Risk Solutions, gave an overview of the Spark-HPCC Plugin & Connector in a breakout session at the 2019 HPCC Systems Community Day. This presentation also included an introduction to Apache Zeppelin, a demonstration of a random forest model created in Spark, and a discussion about the future of the Spark-HPCC Ecosystem.
  • Jessica Lorti
    1 week ago
    In this month’s “5 Questions” interview series, Flavio Villanustre talks with Anthony Fishbeck. Anthony is a senior architect for LexisNexis Risk Solutions and the creator of the Enterprise Services Platform (ESP), a highly adaptive and extensible component that serves as the front end of HPCC Systems.
  • Roger Dev
    4 days 16 hours ago
    The GNN (Generalized Neural Network) bundle provides an ECL interface to Keras and Tensorflow. Using GNN, an ECL developer can construct, train, and utilize arbitrarily complex Neural Networks such as Classical, Convolutional, and Recurrent networks. These networks can be utilized to analyze complex data such as images, video, and time-series.

Partners

Did you know you can work with our ecosystem of partners? Their comprehensive expertise helps our customers drive efficiencies in implementing big data solutions.

Interested in joining our partner ecosystem? We’d love to hear from you. Contact Us.

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

What people are saying about HPCC Systems