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End-to-end big data in a massively scalable supercomputing platform.

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HPCC Systems enables business of all sizes to better analyze and understand data at scale, improving time to results and decisions.

Easier

Easier to update.

Easier to learn.

Easier to program.

Easier to integrate data.

Easier to manage clusters.

What's New?

New Release Available:
HPCC Systems 7.0

Download the Latest Gold version for access to all the great new features and enhancements included in this major new release.

New Blog:
5 Questions with Lili Xu

Check out the latest in our new community webcast series to hear Flavio Villanustre interview Lili Xu.

Lili has interacted with HPCC Systems in several different roles. She first began working with the platform as part of her Ph.D. studies in Dr. Amy Apon’s DICE lab at Clemson University. Lili has also completed three consecutive internships with HPCC Systems and recently joined the company as a full-time technologist.

New Community Webcast:
The Download: HPCC Systems Community Tech Talks, Episode 21

Register now for another episode of the community workshops to share knowledge, spark innovation, and further build and link the relationships within our HPCC Systems community.

Featured speakers and topics include:

  • Adwait Joshi - HPCC Systems - an IoT use case for Payments
  • Yanrui Ma - Dynamic ESDL has become more dynamic in HPCC Systems 7.0.0
  • Bob Foreman - ECL Tip: All about the ECL SET

Modern IDE support for data programming

Try playing with the code on our virtual playground and sample dataset.

Download the ECL IDE

Visit the ECL Playground

Get the Early Access VS Code ECL Extension

The HPCC Systems Platform

ETL Engine (Thor)

Extract, Transform, and Load your data using a powerful scripting language (ECL) specifically developed to work with data.

Query Engine (ROXIE)

An index based search engine to perform real-time queries. SOAP, XML, REST, and SQL are all supported interfaces.

Data Management Tools

Data Profiling, Data Cleansing, Snapshot Data Updates and consolidation, Job Scheduling and automation are some of the key features.

Predictive Modeling Tools

In place (supporting distributed linear algebra) predictive modeling functionality to perform Linear Regression, Logistic Regression, Decision Trees, and Random Forests.

Check out our blog

  • Cassandra Walker
    22 hours 44 minutes ago
    Chris Gropp, a PhD student at Clemson University, spoke at HPCC Systems Tech Talk 10, focusing on how to plan effectively at the start of a machine learning research project to achieve a successful outcome. This blog shares his experience on how to ask the right questions with machine learning, by taking a step back and carefully examining the requirements.
  • Jessica Lorti
    1 week 4 days ago
    Lili Xu, our next participant in the “5 Questions” interview series, has interacted with HPCC Systems in several different roles. She first began working with the platform as part of her Ph.D. studies in Dr. Amy Apon’s DICE lab at Clemson University. Lili has also completed three consecutive internships with HPCC Systems and recently joined the company as a full-time technologist.
  • Jessica Lorti
    3 weeks 4 days ago
    ​​​​​​​Welcome to the third installment of our “5 Questions” interview series. This month we chatted with Amy Apon PhD., the professor and chair of the Division of Computer Science for Clemson University. Dr. Apon maintains an active research program at Clemson where she works with cloud computing, performance modeling and analysis of parallel and distributed system and data-intensive computing, among others.

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