We use cookies to give you the best experience on our website. You can choose which cookies you want to allow below. You can find more details in our privacy policy.
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
