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HPCC Systems is a sponsor this event as part of our academic program. It is hosted by the College of Computing and Software Engineering at KSU.

We also took part in this event in 2017. For more information about how it went, read our blog post: Fly on the wall - Our first Hackathon.

Date of the eventSeptember 12 - 15, 2018
LocationMarietta Campus, J/Atrium Building
CostFree
EligibilityThis event is open to all KSU CCSE students (ACS, BASIT, IT, CS, SWE, and CGDD) who have passed their first few programming courses. Graduate students who have exempted all transitional courses or have passed at least three 5000 transition courses are also eligible.
Registration More information about the event
HPCC Systems Hackathon Team

Big Data Analytics on HPCC Systems

Are you interested in how analytics can identify trends which help businesses from a wide range of markets improve their decision making?

Join our team and learn how to use the open source HPCC Systems platform and ECL-ML machine learning libraries, to build predictive models in the financial industry.

Challenge

Reconciliation, Fraud, Compliance & Analytics as a service is fast becoming a critical function in the FinTech industry. While many have previously tried to build homegrown solutions, few have been successful for various reasons. The DataSeers appliance provides a unique solution of accomplishing this. In the future, we would want DataSeers customers to not only know “what happened,” we also want them to know “if it will happen” or “when will it happen.” As part of the Hackathon experience, you will be provided with anonymized datasets of real transactional data, from which you will have to derive predictions around customer behavior. Hear from DataSeers CEO, Adwait Joshi, on how his company leverages HPCC Systems.

Data SourceTBA
General Instructions
  1. Please follow all the guidelines specified by the data provider.
  2. Provide a brief design/tech document describing the proposed solution (2-3 pages max).
  3. Provide the bio of all participants and their roles on the project.
  4. Use the HPCC Systems platform for executing the solution.
Rating Criteria
  1. Innovation involved
  2. Understanding of Big Data patterns and its application to HPCC Systems.
  3. Team work and execution
  4. Presentation quality
Mentors available during the Hackathon

The following mentors will be on site for the duration of the event: Dan Camper, Arjuna Chala and Richard Taylor, as well as our community users from DataSeers, Adwait Joshi and Gurjot Bandasha.

The following mentors will be available to give assistance remotely: Roger Dev.

More information about our mentors and how to contact them

Slack Channelhttps://ksuccsehackathon.slack.com/

What can I do to prepare?

We have many resources available for you to use to familiarise yourself with our technology and how to use it. If you are new to us, then take some time to find out about HPCC Systems and what we do. Find out how HPCC Systems works, what ECL is and take a look at what goes on in our community.

  • Watch a quick overview video about HPCC Systems
  • Download the HPCC Systems VM. Select the operating systems you are using first and then check the VM download. Follow the installation guide instructions.
    • Note:  We will be using a cloud-based HPCC Systems cluster for the hackathon.
  • You can use your preferred editor to write code but we do have our own, a Windows-based ECL IDE which you can download. On the download page, select Gold and under Operating System, select Windows. Download both the ECL IDE and Client Tools.
  • VS Code is a good code editor if you don't use Windows.  Installation is slightly more complicated:
    1. Download and install VS Code from here if you don't already have it installed.
    2. Download the HPCC Systems Client Tools from here.
      1. Choose your operating system from the popup list.
      2. Choose the appropriate "Client Tools" option for your operating system.  Make sure only one checkbox on the entire page is selected.
      3. Download and install.
    3. Launch VS Code, then search for and install the extension named "ECL (Enterprise Control Language) support for Visual Studio Code".
  • Once you’re up and running, try out a few examples from the installation guide and tutorials.
  • Learn some ECL. This is the language used to write queries. It's easy to use, try it for yourself. Read the documentation or take a training course.
  • Take a look at some video tutorials
  • Take a look at the information and training examples in this GitHub repository. In particular, please look at the Taxi_Tutorial where you will find the DataSeers contribution which provides examples showing some basic ECL functionality in action.
  • Take a look at our Machine Learning Documentation and Sources.

I have questions, who do I ask?

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