Do you want to write less code and get more done? This tutorial will demonstrate a natural language parsing technology to extract entities from all kinds of text using massively parallel clusters. Attendees will gain hands-on experience with the newly-released, data-centric cluster programming technology from HPCC Systems to extract entities from semi-structured and free-form text data. Students will leave with all the data and code used in the class along with the latest HPCC Client Tools installation, HPCC documentation, and HPCC’s VMware installation. Prizes, give-aways and a raffle is included.
This session is sponsored by HPCC
Richard Taylor Chief Trainer of HPCC Systems from LexisNexis Risk Solutions Richard.Taylor@LexisNexis.com
Richard Taylor has worked with the HPCC technology platform and the ECL programming language since its inception over 11 years ago. He developed all the ECL programming courses and has taught ECL from its beginning. He is the author of the ECL programming documentation: Language Reference, Programmer’s Guide, and Standard Library Reference. He spent the 10 years prior to that programming, documenting, teaching, and supporting another business data language developed by the same team who later created the HPCC platform.
About HPCC Systems™ HPCC Systems™ from LexisNexis® Risk Solutions offers a proven, data-intensive supercomputing platform designed for the enterprise to process and deliver Big Data analytical problems. As an alternative to Hadoop and mainframes, HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single architecture for efficient processing. Customers, such as financial institutions, insurance carriers, insurance companies, law enforcement agencies, federal government and other enterprise-class organizations leverage the HPCC Systems technology through LexisNexis® products and services. For more information, visit http://hpccsystems.com.
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