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“…Build scalable microservices with Reactive Streams, Spring Boot, Docker, and Mesos…”

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Tabla de Contenidos: “…Comparing the two versions -- The third example - the merge sort algorithm -- Shared classes -- The serial version -- The SerialMergeSort class -- The SerialMetaData class -- The concurrent version -- The MergeSortTask class -- The ConcurrentMergeSort class -- The ConcurrentMetaData class -- Comparing the two versions -- Other methods of the fork/join framework -- Summary -- Chapter 8: Processing Massive Datasets with Parallel Streams - The Map and Reduce Model -- An introduction to streams -- Basic characteristics of streams -- Sections of a stream -- Sources of a stream -- Intermediate operations -- Terminal operations -- MapReduce versus MapCollect -- The first example - a numerical summarization application -- The concurrent version -- The ConcurrentDataLoader class -- The ConcurrentStatistics class -- Customers from the United Kingdom -- Quantity from the United Kingdom -- Countries for product -- Quantity for product -- Multiple data filter -- Highest invoice amounts -- Products with a unit price between 1 and 10 -- The ConcurrentMain class -- The serial version -- Comparing the two versions -- The second example - an information retrieval search tool -- An introduction to the reduction operation -- The first approach - full document query -- The basicMapper() method -- The Token class -- The QueryResult class -- The second approach - reduced document query -- The limitedMapper() method -- The third approach - generating an HTML file with the results -- The ContentMapper class -- The fourth approach - preloading the inverted index -- The ConcurrentFileLoader class -- The fifth approach - using our own executor -- Getting data from the inverted index - the ConcurrentData class -- Getting the number of words in a file -- Getting the average tfxidf value in a file -- Getting the maximum and minimum tfxidf values in the index…”

“…You'll examine the details of stream processing such as creating streams from different data sources, learning the difference between sequential and parallel streams, applying the filter-map-reduce pattern, and dealing with optional values…”

“…Analysis and Retrieval of Tracked Events and Motion in Imagery Streams'10 : proceedings of the 1st Association for Computing Machinery Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams : October 29, 2010, Firenze, Italy…”

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