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In this paper, we focus on techniques to merge the parallelized data processing (i.e. map-reduce) capabilities of Apache Spark with the extensive file-type parsing support of Apache Tika. These two frameworks each have unique appeal for data scientists. Where Spark makes highly efficient the parallelized processing of very large, often text-based data sets, Tika makes consistent the information extraction...
With decades of investments, productivity has still continued to be a major issue for many digital circuit designers. One of the most important factors in improving productivity is design reuse, which current tools have yet to fully exploit. Reusing designs involve manually searching through repositories to find a design that meets the requirements of a project. This search can be tedious and often...
Exploring publications in academia usually entails browsing a collection of published literature through either bibliographic databases or full featured digital libraries. Bibliographic databases contain an organized collection of references to published literature, whereas digital libraries host publications in full-text. Although lacking full-text content of a publication, bibliographies contain...
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