The following LexisNexis instructors and mentors will be onsite for the duration of the HPCC Systems workshop:
Dan Camper - Email
Dan has been with LexisNexis since 2014 and is a Senior Architect in the Solutions Lab Group. He has worked for Apple and Dun & Bradstreet, and he ran his own custom programming shop for a decade. He's been writing software professionally for over 40 years and has worked on a myriad of systems, using many different programming languages.
He extended the ECL Std.Date library module to include time support and also authored our Kafka plugin. Dan is also available to to mentor students who apply to complete a summer internship with HPCC Systems for projects involving adding interfaces to ECL for other languages or external data stores. Dan is a regular contributor to the HPCC Systems Open Source Project. He recently contributed his Data Patterns ECL bundle, which is available in the HPCC Systems GitHub repository. Dan spoke about this bundle at our 2018 HPCC Systems Community Day Summit. This ECL bundle includes a set of data profiling capabilities to help identify the shape of data as part of the data discovery cycle.
Lily Xu - Email
roject during one of our Tech Talk webcasts and presented about her work at our 2018 HPCC Systems Community Day Summit, alongside our LexisNexis colleague, Gus Reyna. We are pleased that Lili has join the team as a LexisNexis employee.
Brian Bounds - Email
Brian has been with LexisNexis and other RELX Group companies since 2008. He is presently based in London and serves as an HPCC Systems Development Consultant at Proagrica, the RELX Group business applying Data and Analytics to Agriculture. His long software development career includes work with AT&T Bell Laboratories, Motorola, Citadel Investment Group, and Lockheed-Martin. For more than a decade he led a data engineering team that provided data science based fraud detection and analysis solutions to several of the top 20 property and casualty insurance companies in the United States.
Brian has been an active HPCC Systems user since 2010, has worked on a number of HPCC Systems proof-of-concepts and projects and has contributed to the HPCC Systems Open Source Project. His most recent experience includes a year embedded with Elsevier’s Big Data group, leading the technical aspects of an entity resolution project using HPCC Systems, and extensive experience optimizing HPCC Systems environments within Amazon’s AWS ecosystem.