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Coding Theory in the Time of Big Data (Dagstuhl Seminar 16321) Bossert, Martin Byrne, Eimear Soljanin, Emina Algebraic coding theory Caching problems Coding theory Complexity theory Cryptography Distributed storage Error-correction Index coding Information theory Randomized algorithms Streaming algorithms This report documents the program and the outcomes of Dagstuhl Seminar 16321 "Coding Theory in the Time of Big Data". The overarching technical theme was on how fundamentals of coding theory could be applied to data storage and transmission in the context of big data and conversely, on new problems in coding theory arising from such applications. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Martin Bossert and Eimear Byrne and Emina Soljanin 2016 Is Part Of Dagstuhl Reports, Volume 6, Issue 8 (2017) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagRep.6.8.1 urn:nbn:de:0030-drops-68370 https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.8.1 eng https://creativecommons.org/licenses/by/3.0/legalcode