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History and context; Overview of Big Data technology; Science data; Search, indexing and memory
Large Scale Storage System; MapReduce and Hadoop; Relation to current databases, streams , algorithms, extensions and languages; Parallel query processing and computational analysis of statistics ; Key - value storage; Comparing SQL databases and non-SQL
Visualization of computational results; Sources of data, privacy, ethics and governance
Analysis of graphs: structure , crossings , computational analysis, PageRank, recursive queries, semantic web, advertising and recommendation systems on the internet