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HPCC Systems blog contributors are engineers, data scientists, and fellow community members who want to share knowledge, tips, and other helpful information happening in the HPCC Systems community. Check this blog regularly for insights into how HPCC Systems technology can put big data analytics to work for your own needs.

Lorraine Chapman on 08/04/2022
The 2022 HPCC Systems Intern Program is well underway with 11 students working on projects this summer. Meet the students, learn more about their projects and find out more about the progress they are making as they work with their mentors and other members of the HPCC Systems Platform Team.
George Foreman on 07/25/2022
This is the first in a series of four blogs focusing on different usage perspectives for HPCC Systems. In this blog, George Foreman provides a high level overview of how to use our play cluster with either the ECL IDE or ECL Extension for VS Code and shows you how to get setup on ECL Watch to prepare you for using our platform.
Gavin Halliday on 06/22/2022
Gavin Halliday is a longstanding member of the HPCC Systems core development team. In this blog Gavin outlines the new improvements added to GitHub and discusses the best way to implement them. Learn how to use these improvements to have the most optimized experience possible.
Lili Xu on 06/15/2022
If you are a PC user and want to run the HPCC Systems Platform, the simplest and most natural environment may be to use a Hyper-V Virtual Machine. Hyper-V is standard on many versions of Windows, and tends to work better than most add-on virtualization systems.  It also has good support for multiple CPUs, and is quite reliable and performant.
Jessica Lorti on 05/23/2022
HPCC Systems has a robust Academic Program that collaborates with colleges, universities, high schools and institutions of higher learning around the world. One such collaboration with the Rashtreeya Vidyalaya College of Engineering (RVCE) in Bengaluru, India, has resulted in a new publication: Performance Skew Prediction in HPCC Systems, published by IEEE Xplore®
Roger Dev on 05/19/2022
The HPCC Systems Causality Toolkit has just been released. It is intended for research into practical applications of Causal Analysis. In addition to various Causal Analytic algorithms, it contains a Synthetic Data Generation module, and a Generalized Probability System that can be used independently for any purposes.
George Foreman on 05/18/2022
When Kennesaw State University was looking for a challenge for their Hackathon, we suggested using HPCC Systems to link families to disconnected young adults at risk of homelessness and sex trafficking. Read on to find out more how the results may impact people's lives for years to come.
Roger Dev on 05/10/2022
ECL Provides a powerful capability to combine the benefits of declarative programming (ECL) with those of procedural languages such as C++, Java, or Python. This is known as Embedding. This guide provides a comprehensive review of various methods and patterns for Python Embedding within ECL programs. It reviews elementary embedding techniques, and provides a guide to several more advanced embedding patterns.
Hugo Watanuki on 04/18/2022
Over the last few years the University of São Paulo and LexisNexis Risk Solutions Group have formed a partnership with the goal of building an academic program focused on teaching, learning, researching and extension activities in Brazil leveraging HPCC Systems. Learn how all of this came to fruition.
Shamser Ahmed on 04/06/2022
How do you manage costs when running Big Data on the cloud? The latest new features and enhancements in ECL Watch delivers tools to help understand and control those costs. This blogs focuses on the tools provided with clear direction on protecting yourself from accruing unwanted costs when running Big Data on the Cloud.