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His main interests are the design, analysis, and implementation of probabilistic algorithms and supporting data structures, in particular in the context of Web-scale applications.<br><br><br> This CSV export has been used by several researchers at the Royal Danish Library already and gives them the opportunity to use other tools, such as RStudio, to perform analysis on the data. At the Royal Danish Library we were already using Blacklight as search frontend. So this is the drawback when using SolrWayback on large collections: The WARC files have to be indexed first. I recommend reading the frontend blog post first. See the frontend blog post for [https://itgurusgermany.com:443/wiki/An_Unbiased_View_Of_Fast_Indexing_Of_Links fast indexing windows] more feature examples. The frontend blog post has beautiful animated gifs demonstrating most of the features in SolrWayback. 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Since the exported WARC file can become very large, you can use a WARC splitter tool or just split up the export in smaller batches by adding crawl year/month to the query etc. The National Széchényi Library demo site has disabled WARC export in the SolrWayback configuration, so it can not be tested live.<br>
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