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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.

Russ Whitehead on 07/29/2020
The methods used to circumvent security with the aim of accessing private information are getting more and more creative, meaning that we all have to work harder and smarter to protect our systems and data. We are constantly reviewing and implementing features to help our users stay one step ahead of the hackers. In this blog, Russ Whitehead outlines some of the features available for securing your HPCC Systems clusters and protecting your data.
Russ Whitehead on 11/06/2019
In order to conduct the complex analytics that bring meaning to data, big data platforms require access to massive amounts of potentially sensitive data. And, no matter how powerful or easy to use a big data platform is, it can become a serious liability if it isn’t properly secured. Which begs the question: What is required to properly secure a big data platform from unauthorized access or data theft?
Russ Whitehead on 09/27/2019
As of HPCC Systems version 7.6.0, a new cryptographic module has been added to the ECL Standard Library. Within this module, there is an assortment of cryptographic features available to ECL developers to utilize in order to safeguard their sensitive data, using industry standard cryptographic algorithms. Features include digital hash algorithms, symmetric and asymmetric encryption and decryption, and digital signatures, all of which can be applied to individual columns within an ECL dataset.