Data Algorithms: Recipes for Scaling Up with Hadoop and Spark - Info and Reading Options

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Secondary sort : introduction -- Secondary sort : a detailed example -- Top 10 list -- Left outer join -- Order inversion -- Moving average -- Market basket analysis -- Common friends -- Recommendation engines using MapReduce -- Content-based recommendation : movies -- Smarter email marketing with the Markov Model -- K-means clustering -- k-nearest neighbors -- Naive bayes -- Sentiment analysis -- Finding, counting, and listing all triangles in large graphs -- K-mer counting -- DNA sequencing -- Cox regression -- Cochran-Armitage test for trend -- Allelic frequency -- The T-test -- Pearson correlation -- DNA base count -- RNA sequencing -- Gene aggregation -- Linear regression -- MapReduce and monoids -- The small files problem -- Huge cache for MapReduce -- The bloom filter

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