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HPCC Systems blog contributors are engineers and data scientists who for years have enabled LexisNexis customers to use big data to fulfill critical missions, gain competitive advantage, or unearth new discoveries. Check this blog regularly for insights into how HPCC Systems technology can put big data to work for your own organization.

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.