Guest Speakers and subjects:
- Itauma Itauma, PhD Candidate, Keiser University
Conducting exploratory data analysis in educational research using HPCC Systems®
Itauma Itauma is a doctoral candidate at Keiser University, a computer science instructor at Wayne State University and an online instructor at Southern New Hampshire University. His interests lie in learning analytics and utilizing HPCC Systems for educational research. He has an undergraduate degree in Electrical Engineering from the University of Ilorin and two Masters Degrees, a Master of Science in Computer Engineering from Istanbul Technical University, majoring in human-robot interaction and a Master of Science in Computer Science from Wayne State University where his thesis was based on leveraging HPCC Systems for Big Data analytics.
This research illustrates the use of HPCC Systems for quantitative data analysis in educational research. Utilizing HPCC Systems, an exploration of the dataset of the High School Longitudinal Study of 2009 (HSLS:09) is performed. HSLS:09 is a national study of over 23,000 ninth graders from 944 schools in 2009 through their secondary and post-secondary years. Analysis will include an examination of the association between Math identity and Math self-efficacy in high school.
- Ignacio Calvo, Software Engineering Lead, LexisNexis Risk Solutions
Big Data and Geospatial with HPCC Systems®
Ignacio is a Software Engineering Lead with 17 years of experience in the development of IT projects for different markets (insurance, finance, telecom, retailing). He has been working for 5 years in LexisNexis creating Big Data solutions with geospatial capabilities using HPCC Systems. He is the organizer of the HPCC Systems meetup group in Dublin and a CoderDojo mentor.
This presentation covers a topic that LexisNexis Risk Solutions has mastered over several years: Geospatial.
Ignacio reveals how we deal with very specific spatial challenges in our day-to-day use cases:
- Introduction to Geospatial
- Answering questions combining the best of BigData and geospatial analysis.
- Ingestion and use of raster and vector data with our Massive Parallel Processing platform (Thor).
- Storing and querying spatial information with sub-second queries, using our data refinery (Roxie).
- And much more…
- Bob Foreman, Senior Software Engineer, HPCC Systems, LexisNexis Risk Solutions
ECL Tips and Trick: The Top Ten Common ECL Compiler/Runtime Errors, and how to correct them
Bob Foreman has worked with the HPCC Systems technology platform and the ECL programming language for over 5 years and has been a technical trainer for over 25 years. He is the developer and designer of the HPCC Systems Online Training Courses and is the Senior Instructor for all classroom and Webex/Lync based training.
In all of the ECL training classes over the many years, there are consistent ECL compiler/runtime errors that surface in every class. This presentation focuses on the list of the most common errors identified by the HPCC Systems training and documentation, addressing why they occur and how to fix them.