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This version of NSU News has been archived as of February 28, 2019. To search through archived articles, visit nova.edu/search. To access the new version of NSU News, visit news.nova.edu.
This version of SharkBytes has been archived as of February 28, 2019. To search through archived articles, visit nova.edu/search. To access the new version of SharkBytes, visit sharkbytes.nova.edu.
Computer Sciences School Alumnus Presents during Strata Conference in California
NSU’s Graduate School of Computer and Information Sciences alumnus Tony Middleton, Ph.D., presented on “Data Ingest, Linking, and Data Integration via Automatic Code Generation,” during the Strata Conference in Santa Clara, California on Feb. 29.
The presentation discussed a fundamental challenge of data-intensive computing, which is developing new algorithms that can scale to search and process big data. SALT (Scalable Automated Linking Technology) is a new tool which automatically generates code in the ECL language for the open source HPCC scalable data-intensive computing platform based on a simple specification to address most common data integration tasks including data profiling, data cleansing, data ingest, and record linkage.
Middleton completed his Ph.D. in computer information systems in 2009 and is currently senior architect, data scientist at LexisNexis Risk Solutions. In December, he also published a chapter in the Springer book called “Handbook of Data-Intensive Computing,” which can be found at http://www.springerlink.com/content/978-1-4614-1414-8/contents/.